<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="review-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">helmholtzeyeinstitute</journal-id><journal-title-group><journal-title xml:lang="ru">Российский офтальмологический журнал</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Ophthalmological Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-0076</issn><issn pub-type="epub">2587-5760</issn><publisher><publisher-name>Real time Publishers</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21516/2072-0076-2026-19-3-129-136</article-id><article-id custom-type="elpub" pub-id-type="custom">helmholtzeyeinstitute-2237</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРЫ ЛИТЕРАТУРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEWS</subject></subj-group></article-categories><title-group><article-title>Шум нейронной активности зрительной системы как характерная особенность и мишень для лечения амблиопии</article-title><trans-title-group xml:lang="en"><trans-title>Neural noise as a characteristic feature and target for amblyopia treatment</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4675-9648</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Котелин</surname><given-names>В. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Kotelin</surname><given-names>V. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Владислав Игоревич Котелин — канд. мед. наук, старший научный сотрудник отдела клинической физиологии зрения им. С.В. Кравкова.</p><p>Ул. Садовая-Черногрязская, д. 14/19, Москва, 105062</p></bio><bio xml:lang="en"><p>Vladislav I. Kotelin — Cand. of Med. Sci., senior researcher, department of clinical physiology of vision named after S.V. Kravkov.</p><p>14/19, Sadovaya-Chernogryazskaya St., Moscow,105062</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0161-5010</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Зуева</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Zueva</surname><given-names>M. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Марина Владимировна Зуева — д-р биол. наук, профессор, главный научный сотрудник, начальник отдела клинической физиологии зрения им. С.В. Кравкова НМИЦ глазных болезней им. Гельмгольца, ведущий научный сотрудник ГНЦ РФ – Институт медико-биологических проблем РАН.</p><p>Ул. Садовая-Черногрязская, д. 14/19, Москва, 105062; Хорошевское шоссе, д. 76 а, Москва, 123007</p></bio><bio xml:lang="en"><p>Marina V. Zueva — Dr. of Biol. Sci., professor, head of the department of clinical physiology of vision named after S.V. Kravkov Helmholtz NMRC of Eye Diseases, leading researcher Institute for Biomedical Problems оf the RAS.</p><p>14/19, Sadovaya-Chernogryazskaya St., Moscow,105062; 76 a, Khoroshevskoe highway, Moscow, 123007</p></bio><email xlink:type="simple">visionlab@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8383-0127</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Стальмахова</surname><given-names>Р. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Stalmakhova</surname><given-names>R. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Регина Расуловна Стальмахова — канд. мед. наук, научный сотрудник отдела патологии рефракции, бинокулярного зрения и офтальмоэргономики.</p><p>Ул. Садовая-Черногрязская, д. 14/19, Москва, 105062</p></bio><bio xml:lang="en"><p>Regina R. Stalmakhova — Cand. of Med. Sci., researcher of the department of refractive pathology, binocular vision and ophthalmoergonomics.</p><p>14/19, Sadovaya-Chernogryazskaya St., Moscow,105062</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Маглакелидзе</surname><given-names>Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Maghlakelidze</surname><given-names>N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Наталья Маглакелидзе — канд. мед. наук, офтальмохирург Клиника «Аверси», доцент Грузино-американский университет.</p><p>Пр. Важа Пшавела, д. 27 б, Тбилиси, 0160; ул. Мераба Алексидзе, д. 10, Тбилиси, 0160</p></bio><bio xml:lang="en"><p>Georgia Natalia Maghlakelidze — Cand. of Med. Sci., ophthalmic surgeon Aversi Clinic, associate professor Georgian American University.</p><p>27 b, Vazha Pshavela Ave., Tbilisi, 0160; 10, Merab Aleksidze St, Tbilisi, 0160</p></bio><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ «НМИЦ глазных болезней им. Гельмгольца» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Helmholtz National Medical Research Center of Eye Diseases</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБУ «НМИЦ глазных болезней им. Гельмгольца» Минздрава России; ФГБУН «Государственный научный центр Российской Федерации – Институт медико-биологических проблем РАН»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Helmholtz National Medical Research Center of Eye Diseases; Institute for Biomedical Problems of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Клиника «Аверси»; Грузино-американский университет</institution><country>Грузия</country></aff><aff xml:lang="en"><institution>Aversi Clinic; Georgian-American University</institution><country>Georgia</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>28</day><month>09</month><year>2026</year></pub-date><volume>19</volume><issue>3</issue><fpage>129</fpage><lpage>136</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Котелин В.И., Зуева М.В., Стальмахова Р.Р., Маглакелидзе Н., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Котелин В.И., Зуева М.В., Стальмахова Р.Р., Маглакелидзе Н.</copyright-holder><copyright-holder xml:lang="en">Kotelin V.I., Zueva M.V., Stalmakhova R.R., Maghlakelidze N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://roj.igb.ru/jour/article/view/2237">https://roj.igb.ru/jour/article/view/2237</self-uri><abstract><p>Сегодня значительное внимание уделяется изучению клинической эффективности новых методов лечения амблиопии, таких как ТМС и tDCS, а также перцептивной и дихоптической зрительной тренировки в видеоиграх, в том числе с помощью виртуальной и дополненной реальности, целью которых является улучшение бинокулярного зрения и уменьшение межглазного подавления. Недавние достижения нейронаук позволяют по-новому взглянуть на механизмы терапевтического воздействия и определить направление новых исследований в этой области. В частности, исследования шума вызванной и спонтанной нейронной активности расширяют знания о функционировании зрительной системы при амблиопии. Фоновая нейронная активность в норме обладает сложными, самоподобными в масштабах времени колебаниями, спектр мощности которых может быть описан 1/f-функцией. 1/f-подобный спектр мощности указывает на нелинейную, фрактальную динамику нейронной активности. При амблиопии повышается вариабельность не только вызванной, но и фоновой нейронной активности, что может негативно влиять на пластичность мозга и статистические свойства колебаний. Динамика фонового шума определяет изменчивость вызванного ответа и может влиять на пластичность мозга. Предполагается, что более высокая эффективность применяемых сегодня новых методов лечения амблиопии, чем традиционных, связана с тем, что они обучают мозг лучше выделять сигнал из шума и тем самым усиливают надежность получаемой зрительной информации. С другой стороны, показано положительное влияние фрактальной фотостимуляции на вызванную биоэлектрическую активность сетчатки и зрительные характеристики пациентов с различными заболеваниями сетчатки, которые могут быть связаны с нормализацией статистических характеристик нейронного шума зрительной системы, как зависящего от стимула (вызванных зрительных ответов), так и фонового шума спонтанной активности нейронов в состоянии покоя. Можно предположить, что развитие новых фармакологических и немедикаментозных методов модуляции нейропластичности будет способствовать восстановлению структуры и функции нейронных сетей и зрительной реабилитации пациентов с амблиопией.</p></abstract><trans-abstract xml:lang="en"><p>Today, considerable attention is being paid to the clinical efficacy of new amblyopia treatments, such as TMS and tDCS, as well as perceptual and dichoptic visual training in video games, including those using virtual and augmented reality. The aim is to improve binocular vision and reduce interocular suppression. Recent advances in neuroscience provide new insights into the mechanisms of therapeutic effects and identify new research directions in this area. In particular, studies of evoked and spontaneous neural activity (background noise) are expanding our understanding of visual system function. Normal background neural activity exhibits complex, self-similar scale-free oscillations, the power spectrum of which can be described by a 1/f function. A 1/f-like power spectrum indicates nonlinear, fractal dynamics of neural activity. In amblyopia, the variability of not only evoked but also background neural activity increases, which can negatively affect brain plasticity and the statistical properties of oscillations. The dynamics of background noise determine the variability of the evoked response and may influence brain plasticity. It is believed that the superior efficacy of new amblyopia treatments used today, compared to traditional methods, is due to their ability to better train the brain to distinguish signals from noise, thereby enhancing the reliability of received visual information. On the other hand, fractal photostimulation has been shown to have a positive effect on evoked retinal bioelectrical activity and visual characteristics in patients with various retinal diseases. This may be due to the normalization of the statistical characteristics of neural noise in the visual system, both stimulus-dependent (evoked visual responses) and background noise of spontaneous neuronal activity at rest. It can be hypothesized that the development of new pharmacological and non-pharmacological methods for modulating neuroplasticity will facilitate the restoration of the structure and function of neural networks and the visual rehabilitation of patients with amblyopia.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>амблиопия</kwd><kwd>вариабельность вызванной активности мозга</kwd><kwd>спонтанная нейронная активность</kwd><kwd>нейропластичность</kwd><kwd>1/f-подобный спектр мощности</kwd></kwd-group><kwd-group xml:lang="en"><kwd>amblyopia</kwd><kwd>variability of evoked brain activity</kwd><kwd>spontaneous neural activity</kwd><kwd>neuroplasticity</kwd><kwd>1/f-like power spectrum</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">никто из авторов не имеет финансовой заинтересованности в представленных материалах или методах</funding-statement><funding-statement xml:lang="en">no author has a financial or property interest in any material or method mentioned</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Wallace DK, Repka MX, Lee KA, et al. Amblyopia preferred practice pattern. Ophthalmology. 2018; 125: 105–42. https://doi.org/10.1016/j.ophtha.2017.10.00</mixed-citation><mixed-citation xml:lang="en">Wallace DK, Repka MX, Lee KA, et al. Amblyopia preferred practice pattern. Ophthalmology. 2018; 125: 105–42. https://doi.org/10.1016/j.ophtha.2017.10.00</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Аветисов Э.С. Дисбинокулярная амблиопия и ее лечение. Москва: Медицина; 1968.</mixed-citation><mixed-citation xml:lang="en">Avetisov ES. Dysbinocular amblyopia and its treatment. Moscow: Medicina; 1968 (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Хватова Н.В., Слышалова Н.Н., Вакурина А.Е Амблиопия: зрительные функции, патогенез и принципы лечения. В кн: Аветисов С.Э., Кащенко Т.П., Шамшинова А.М., ред. Зрительные функции и их коррекция у детей: Руководство для врачей. Москва: Медицина; 2005.</mixed-citation><mixed-citation xml:lang="en">Khvatova N.V., Slyshalova N.N., Vakurina A.E. Amblyopia: visual functions, pathogenesis and treatment principles. In: Avetisov S.E., Kashchenko T.P., Shamshinova A.M., eds. Visual Functions and Their Correction in Children: A Guide for Physicians. Moscow: Medicina; 2005 (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">de Zárate BR, Tejedor J. Current concepts in the management of amblyopia. Clin Ophthalmol. 2007 Dec; 1(4): 403–14. PMID: 19668517.</mixed-citation><mixed-citation xml:lang="en">de Zárate BR, Tejedor J. Current concepts in the management of amblyopia. Clin Ophthalmol. 2007 Dec; 1(4): 403–14. PMID: 19668517.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Boniquet-Sanchez S, Sabater-Cruz N. Current management of amblyopia with new technologies for binocular treatment. Vision (Basel). 2021; 5 (2): 31. https://doi.org/10.3390/vision5020031</mixed-citation><mixed-citation xml:lang="en">Boniquet-Sanchez S, Sabater-Cruz N. Current management of amblyopia with new technologies for binocular treatment. Vision (Basel). 2021; 5 (2): 31. https://doi.org/10.3390/vision5020031</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Lu ZL, Dosher BA. Current directions in visual perceptual learning. Nat Rev Psychol. 2022; 1 (11): 654–68. doi: 10.1038/s44159-022-00107-2</mixed-citation><mixed-citation xml:lang="en">Lu ZL, Dosher BA. Current directions in visual perceptual learning. Nat Rev Psychol. 2022; 1 (11): 654–68. doi: 10.1038/s44159-022-00107-2</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Tsaousis KT, Mousteris G, Diakonis V, Chaloulis S. Current developments in the management of amblyopia with the use of perceptual learning techniques. Medicina. 2024; 60 (1): 48. https://doi.org/10.3390/medicina60010048</mixed-citation><mixed-citation xml:lang="en">Tsaousis KT, Mousteris G, Diakonis V, Chaloulis S. Current developments in the management of amblyopia with the use of perceptual learning techniques. Medicina. 2024; 60 (1): 48. https://doi.org/10.3390/medicina60010048</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Levi DM. Pathophysiology of binocular vision and amblyopia. Curr Opinion in Ophthalmol. 1994; 5 (5): 3–10. https://doi.org/10.1097/00055735-199410000-00002</mixed-citation><mixed-citation xml:lang="en">Levi DM. Pathophysiology of binocular vision and amblyopia. Curr Opinion in Ophthalmol. 1994; 5 (5): 3–10. https://doi.org/10.1097/00055735-199410000-00002</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Kiorpes L, Kiper DC, O’Keefe LP, Cavanaugh JR, Movshon JA. Neuronal correlates of amblyopia in the visual cortex of macaque monkeys with experimental strabismus and anisometropia. J Neurosci. 1998; 18: 6411–24. https://doi.org/10.1523/jneurosci.18-16-06411.1998</mixed-citation><mixed-citation xml:lang="en">Kiorpes L, Kiper DC, O’Keefe LP, Cavanaugh JR, Movshon JA. Neuronal correlates of amblyopia in the visual cortex of macaque monkeys with experimental strabismus and anisometropia. J Neurosci. 1998; 18: 6411–24. https://doi.org/10.1523/jneurosci.18-16-06411.1998</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Kersten D, Hess RF, Plant GT. Assessing contrast sensitivity behind cloudy media. Clin. Vision Sci. 1988; 2: 143–58. doi: 10.29011/ORRT-138.100038</mixed-citation><mixed-citation xml:lang="en">Kersten D, Hess RF, Plant GT. Assessing contrast sensitivity behind cloudy media. Clin. Vision Sci. 1988; 2: 143–58. doi: 10.29011/ORRT-138.100038</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kiorpes L, Tang C, Movshon JA. Factors limiting contrast sensitivity in experimentally amblyopic macaque monkeys. Vision Res. 1999; 39: 4152–60. https://doi.org/10.1016/S0042-6989(99)00130-3</mixed-citation><mixed-citation xml:lang="en">Kiorpes L, Tang C, Movshon JA. Factors limiting contrast sensitivity in experimentally amblyopic macaque monkeys. Vision Res. 1999; 39: 4152–60. https://doi.org/10.1016/S0042-6989(99)00130-3</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Levi DM, Klein S.A. Noise provides some new signals about the spatial vision of amblyopes. Journal of Neuroscience, 2003; 23 (7): 2522–6. https://doi.org/10.1523/JNEUROSCI.23-07-02522.2003</mixed-citation><mixed-citation xml:lang="en">Levi DM, Klein S.A. Noise provides some new signals about the spatial vision of amblyopes. Journal of Neuroscience, 2003; 23 (7): 2522–6. https://doi.org/10.1523/JNEUROSCI.23-07-02522.2003</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Levi DM. Rethinking amblyopia 2020. Vision Res. 2020; 176: 118–29. https://doi.org/10.1016/j.visres.2020.07.014</mixed-citation><mixed-citation xml:lang="en">Levi DM. Rethinking amblyopia 2020. Vision Res. 2020; 176: 118–29. https://doi.org/10.1016/j.visres.2020.07.014</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Acar K, Kiorpes L, Movshon JA, Smith MA. Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia. J Neurophysiol. 2019; 122 (6): 2243–58. https://doi.org/10.1152/jn.00232.2019</mixed-citation><mixed-citation xml:lang="en">Acar K, Kiorpes L, Movshon JA, Smith MA. Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia. J Neurophysiol. 2019; 122 (6): 2243–58. https://doi.org/10.1152/jn.00232.2019</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Wang Y, Zhang B, Tao X, et al. Noisy spiking in visual area V2 of amblyopic monkeys. J Neurosci. 2017; 37 (4): 922–35. https://doi.org/10.1523/jNEUROSCI.3178-16.2016</mixed-citation><mixed-citation xml:lang="en">Wang Y, Zhang B, Tao X, et al. Noisy spiking in visual area V2 of amblyopic monkeys. J Neurosci. 2017; 37 (4): 922–35. https://doi.org/10.1523/jNEUROSCI.3178-16.2016</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Mock T. Die Bestimmung visuell evozierter Potentiale bei Kindern. PhD Thesis, Universität Würzburg, 2001. http://nbn-resolving.de/urn:nbn:de:bvb:20-1180405</mixed-citation><mixed-citation xml:lang="en">Mock T. Die Bestimmung visuell evozierter Potentiale bei Kindern. PhD Thesis, Universität Würzburg, 2001. http://nbn-resolving.de/urn:nbn:de:bvb:20-1180405</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Kelly JP, Darvas F, Weiss AH. Waveform variance and latency jitter of the visual evoked potential in childhood. Documenta Ophthalmologica. 2014; 128 (1): 1–12. http://nbn-resolving.de/urn:nbn:de:bvb:20-1180405</mixed-citation><mixed-citation xml:lang="en">Kelly JP, Darvas F, Weiss AH. Waveform variance and latency jitter of the visual evoked potential in childhood. Documenta Ophthalmologica. 2014; 128 (1): 1–12. http://nbn-resolving.de/urn:nbn:de:bvb:20-1180405</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Wong RO. Retinal waves and visual system development. Annu Re. Neurosci. 1999; 22: 29–47. https://doi.org/10.1146/annurev.neuro.22.1.29</mixed-citation><mixed-citation xml:lang="en">Wong RO. Retinal waves and visual system development. Annu Re. Neurosci. 1999; 22: 29–47. https://doi.org/10.1146/annurev.neuro.22.1.29</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Katz LC, Shatz CJ. Synaptic activity and the construction of cortical circuits. Science. 1996; 274 (5290): 1133–8. https://doi.org/10.1126/science.274.5290.1133</mixed-citation><mixed-citation xml:lang="en">Katz LC, Shatz CJ. Synaptic activity and the construction of cortical circuits. Science. 1996; 274 (5290): 1133–8. https://doi.org/10.1126/science.274.5290.1133</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Feller MB. Spontaneous correlated activity in developing neural circuits. Neuron. 1999 Apr; 22 (4): 653–6. https://doi.org/10.1016/s0896-6273(00)80724-2</mixed-citation><mixed-citation xml:lang="en">Feller MB. Spontaneous correlated activity in developing neural circuits. Neuron. 1999 Apr; 22 (4): 653–6. https://doi.org/10.1016/s0896-6273(00)80724-2</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Uddin LQ. Bring the noise: Reconceptualizing spontaneous neural activity. Trends Cogn. Sci. 2020; 24 (9): 734–46. https://doi.org/10.1016/j.tics.2020.06.003</mixed-citation><mixed-citation xml:lang="en">Uddin LQ. Bring the noise: Reconceptualizing spontaneous neural activity. Trends Cogn. Sci. 2020; 24 (9): 734–46. https://doi.org/10.1016/j.tics.2020.06.003</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Matsumoto N, Barson D, Liang L, Crair MC. Hebbian instruction of axonal connectivity by endogenous correlated spontaneous activity. Science. 2024; 385 (6710). https://doi.org/10.1126/science.adh7814</mixed-citation><mixed-citation xml:lang="en">Matsumoto N, Barson D, Liang L, Crair MC. Hebbian instruction of axonal connectivity by endogenous correlated spontaneous activity. Science. 2024; 385 (6710). https://doi.org/10.1126/science.adh7814</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">May L, Dauphin A, Gjorgjieva J. Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes. PLoS Comput Biol. 2025; 21 (3): e1012830. https://doi.org/10.1371/journal.pcbi.1012830</mixed-citation><mixed-citation xml:lang="en">May L, Dauphin A, Gjorgjieva J. Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes. PLoS Comput Biol. 2025; 21 (3): e1012830. https://doi.org/10.1371/journal.pcbi.1012830</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Ackman JB, Burbridge TJ, Crair MC. Retinal waves coordinate patterned activity throughout the developing visual system. Nature. 2012; 490 (7419): 219–25. https://doi.org/10.1038/nature11529</mixed-citation><mixed-citation xml:lang="en">Ackman JB, Burbridge TJ, Crair MC. Retinal waves coordinate patterned activity throughout the developing visual system. Nature. 2012; 490 (7419): 219–25. https://doi.org/10.1038/nature11529</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Toychiev AH, Yee CW, Sagdullaev BT. Correlated spontaneous activity persists in adult retina and is suppressed by inhibitory inputs. PLoS One. 2013 Oct 29; 8 (10): e77658. https://doi.org/10.1371/journal.pone.0077658</mixed-citation><mixed-citation xml:lang="en">Toychiev AH, Yee CW, Sagdullaev BT. Correlated spontaneous activity persists in adult retina and is suppressed by inhibitory inputs. PLoS One. 2013 Oct 29; 8 (10): e77658. https://doi.org/10.1371/journal.pone.0077658</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">O’Donnell C, Gonçalves JT, Portera-Cailliau C, Sejnowski TJ. Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders. eLife. 2017; 6: e26724. https://doi.org/10.7554/eLife.26724</mixed-citation><mixed-citation xml:lang="en">O’Donnell C, Gonçalves JT, Portera-Cailliau C, Sejnowski TJ. Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders. eLife. 2017; 6: e26724. https://doi.org/10.7554/eLife.26724</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Lopatina OL, Malinovskaya NA, Komleva YK, et al. Excitation/ inhibition imbalance and impaired neurogenesis in neurodevelopmental and neurodegenerative disorders. Rev Neurosci. 2019; 30 (8): 807–20. https://doi.org/10.1515/revneuro-2019-0014</mixed-citation><mixed-citation xml:lang="en">Lopatina OL, Malinovskaya NA, Komleva YK, et al. Excitation/ inhibition imbalance and impaired neurogenesis in neurodevelopmental and neurodegenerative disorders. Rev Neurosci. 2019; 30 (8): 807–20. https://doi.org/10.1515/revneuro-2019-0014</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Markicevic M, Fulcher BD, Lewis C, et al. Cortical excitation:inhibition imbalance causes abnormal brain network dynamics as observed in neurodevelopmental disorders. Cereb Cortex. 2020; 30 (9): 4922–37. https://doi.org/10.1093/cercor/bhaa084</mixed-citation><mixed-citation xml:lang="en">Markicevic M, Fulcher BD, Lewis C, et al. Cortical excitation:inhibition imbalance causes abnormal brain network dynamics as observed in neurodevelopmental disorders. Cereb Cortex. 2020; 30 (9): 4922–37. https://doi.org/10.1093/cercor/bhaa084</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Sylvester AL, Hensenne E, Ivanov D, et al. Neural excitation/inhibition imbalance and neurodevelopmental pathology in human copy number variant syndromes: a systematic review. J Neurodevelop Disord. 2025; 17: 31. https://doi.org/10.1186/s11689-025-09614-8</mixed-citation><mixed-citation xml:lang="en">Sylvester AL, Hensenne E, Ivanov D, et al. Neural excitation/inhibition imbalance and neurodevelopmental pathology in human copy number variant syndromes: a systematic review. J Neurodevelop Disord. 2025; 17: 31. https://doi.org/10.1186/s11689-025-09614-8</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Baroncelli L, Braschi C, Spolidoro M, et al. Brain plasticity and disease: a matter of inhibition. Neural Plast. 2011; 2011: 286073. doi: 10.1155/2011/286073</mixed-citation><mixed-citation xml:lang="en">Baroncelli L, Braschi C, Spolidoro M, et al. Brain plasticity and disease: a matter of inhibition. Neural Plast. 2011; 2011: 286073. doi: 10.1155/2011/286073</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Sale A, Berardi N, Maffei L. Environment and brain plasticity: towards an endogenous pharmacotherapy. Physiol Rev. 2014; 94 (1): 189–234. doi: 10.1152/physrev.00036.2012</mixed-citation><mixed-citation xml:lang="en">Sale A, Berardi N, Maffei L. Environment and brain plasticity: towards an endogenous pharmacotherapy. Physiol Rev. 2014; 94 (1): 189–234. doi: 10.1152/physrev.00036.2012</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Löwel S, Kalogeraki E, Dehmel S, Makowiecki K. Environmental conditions strongly affect brain plasticity. e-Neuroforum. 2017; 24 (1): A19–A29. https://doi.org/10.1515/nf-2017-A050</mixed-citation><mixed-citation xml:lang="en">Löwel S, Kalogeraki E, Dehmel S, Makowiecki K. Environmental conditions strongly affect brain plasticity. e-Neuroforum. 2017; 24 (1): A19–A29. https://doi.org/10.1515/nf-2017-A050</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Chen L, Li X, Tjia M, Thapliyal S. Homeostatic plasticity and excitationinhibition balance: The good, the bad, and the ugly. Curr Opin Neurobiol. 2022 Aug; 75: 102553. doi: 10.1016/j.conb.2022.102553</mixed-citation><mixed-citation xml:lang="en">Chen L, Li X, Tjia M, Thapliyal S. Homeostatic plasticity and excitationinhibition balance: The good, the bad, and the ugly. Curr Opin Neurobiol. 2022 Aug; 75: 102553. doi: 10.1016/j.conb.2022.102553</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Silverstein SM, Kourtev H. Retinal and cortical contributions to excessive V1 neuron firing rate variability in schizophrenia: A computational modeling analysis. J Systems Biol. 2018; 1: 12–32.</mixed-citation><mixed-citation xml:lang="en">Silverstein SM, Kourtev H. Retinal and cortical contributions to excessive V1 neuron firing rate variability in schizophrenia: A computational modeling analysis. J Systems Biol. 2018; 1: 12–32.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Tan AYY. Spatial diversity of spontaneous activity in the cortex. Front. Neural Circuits. 2015; 9. 24 September 2015. https://doi.org/10.3389/fncir.2015.00048</mixed-citation><mixed-citation xml:lang="en">Tan AYY. Spatial diversity of spontaneous activity in the cortex. Front. Neural Circuits. 2015; 9. 24 September 2015. https://doi.org/10.3389/fncir.2015.00048</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Vasilevskii NN. Statistical analysis of background activity of cortical neurons. Neurosci Behav. Physiol. 1968; 2: 705–12. https://doi.org/10.1007/BF01124158</mixed-citation><mixed-citation xml:lang="en">Vasilevskii NN. Statistical analysis of background activity of cortical neurons. Neurosci Behav. Physiol. 1968; 2: 705–12. https://doi.org/10.1007/BF01124158</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Arieli A, Sterkin A, Grinvald A, Aertsen A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science. 1996; 273 (5283): 1868–71. https://doi.org/10.1126/science.273.5283.1868</mixed-citation><mixed-citation xml:lang="en">Arieli A, Sterkin A, Grinvald A, Aertsen A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science. 1996; 273 (5283): 1868–71. https://doi.org/10.1126/science.273.5283.1868</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Faisal AA, Selen LPJ, Wolpert DM. Noise in the nervous system. Nat Rev Neurosci. 2008; 9 (4): 292–303. https://doi.org/10.1038/nrn2258</mixed-citation><mixed-citation xml:lang="en">Faisal AA, Selen LPJ, Wolpert DM. Noise in the nervous system. Nat Rev Neurosci. 2008; 9 (4): 292–303. https://doi.org/10.1038/nrn2258</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Hartmann C, Lazar A, Nessler B, Triesch J. Where’s the noise? Key features of spontaneous activity and neural variability arise through learning in a deterministic network. PLoS Comput Biol. 2015; 11 (12): e1004640. https://doi.org/10.1371/journal.pcbi.1004640</mixed-citation><mixed-citation xml:lang="en">Hartmann C, Lazar A, Nessler B, Triesch J. Where’s the noise? Key features of spontaneous activity and neural variability arise through learning in a deterministic network. PLoS Comput Biol. 2015; 11 (12): e1004640. https://doi.org/10.1371/journal.pcbi.1004640</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Laughlin S, de Ruyter van Steveninck R, Anderson J. The metabolic cost of neural information. Nature Neuroscience. 1998; 1 (1): 36–41. https://doi.org/10.1038/236</mixed-citation><mixed-citation xml:lang="en">Laughlin S, de Ruyter van Steveninck R, Anderson J. The metabolic cost of neural information. Nature Neuroscience. 1998; 1 (1): 36–41. https://doi.org/10.1038/236</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Ringach DL. Spontaneous and driven cortical activity: implications for computation. Curr Opin Neurobiol. 2009; 19 (4): 439–44. https://doi.org/10.1016/j.conb.2009.07.005</mixed-citation><mixed-citation xml:lang="en">Ringach DL. Spontaneous and driven cortical activity: implications for computation. Curr Opin Neurobiol. 2009; 19 (4): 439–44. https://doi.org/10.1016/j.conb.2009.07.005</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Renart A, Machens CK. Variability in neural activity and behavior. Curr Opin Neurobiol. 2014; 25: 211–20. https://doi.org/10.1016/j.conb.2014.02.013</mixed-citation><mixed-citation xml:lang="en">Renart A, Machens CK. Variability in neural activity and behavior. Curr Opin Neurobiol. 2014; 25: 211–20. https://doi.org/10.1016/j.conb.2014.02.013</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Passaglia CL, Troy JB. Impact of noise on retinal coding of visual signals. J Neurophysiol. 2004; 92 (2): 1023–33. https://doi.org/10.1152/jn.01089.2003</mixed-citation><mixed-citation xml:lang="en">Passaglia CL, Troy JB. Impact of noise on retinal coding of visual signals. J Neurophysiol. 2004; 92 (2): 1023–33. https://doi.org/10.1152/jn.01089.2003</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Destexhe A, Paré D. Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. J Neurophysiol. 1999; 81 (4): 1531–47. https://doi.org/10.1152/jn.1999.81.4.1531</mixed-citation><mixed-citation xml:lang="en">Destexhe A, Paré D. Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. J Neurophysiol. 1999; 81 (4): 1531–47. https://doi.org/10.1152/jn.1999.81.4.1531</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Grammaitoni L, Hänggi P, Jung P, Marchesoni F. Stochastic resonance. Reviews of Modern Physics. 1998; 70 (1): 223–78. https://doi.org/10.1103/RevModPhys.70.223</mixed-citation><mixed-citation xml:lang="en">Grammaitoni L, Hänggi P, Jung P, Marchesoni F. Stochastic resonance. Reviews of Modern Physics. 1998; 70 (1): 223–78. https://doi.org/10.1103/RevModPhys.70.223</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Hoch T, Wenning G, Obermayer K. The effect of correlations in the background activity on the information transmission properties of neural populations. Neurocomputing. 2005; 65–66: 365–70. https://doi.org/10.1016/j.neucom.2004.10.030</mixed-citation><mixed-citation xml:lang="en">Hoch T, Wenning G, Obermayer K. The effect of correlations in the background activity on the information transmission properties of neural populations. Neurocomputing. 2005; 65–66: 365–70. https://doi.org/10.1016/j.neucom.2004.10.030</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Zierenberg J, Wilting J, Priesemann V. Homeostatic plasticity and external input shape neural network dynamics. Physical Review. 2018; X8 (031018): 1–14. https://doi.org/10.1103/PhysRevX.8.031018</mixed-citation><mixed-citation xml:lang="en">Zierenberg J, Wilting J, Priesemann V. Homeostatic plasticity and external input shape neural network dynamics. Physical Review. 2018; X8 (031018): 1–14. https://doi.org/10.1103/PhysRevX.8.031018</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">He BJ. Scale-free brain activity: past, present, and future. Trends Cogn Sci. 2014; 18 (9): 480–7. https://doi.org/10.1016/j.tics.2014.04.003</mixed-citation><mixed-citation xml:lang="en">He BJ. Scale-free brain activity: past, present, and future. Trends Cogn Sci. 2014; 18 (9): 480–7. https://doi.org/10.1016/j.tics.2014.04.003</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Зуева М.В., ред. Нелинейный глаз: Новые технологии зрительной реабилитации. Санкт-Петербург: Издательство BMM, 2024.</mixed-citation><mixed-citation xml:lang="en">Zueva M.V., ed. Nonlinear eye: New technologies of visual rehabilitation. St. Petersburg: BMM Publishing House, 2024 (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Kisley MA, Gerstein GL. Trial-to-trial variability and state-dependent modulation of auditory-evoked responses in cortex. J Neurosci. 1999; 19: 10451–60. https://doi.org/10.1523/JNEUROSCI.19-23-10451.1999</mixed-citation><mixed-citation xml:lang="en">Kisley MA, Gerstein GL. Trial-to-trial variability and state-dependent modulation of auditory-evoked responses in cortex. J Neurosci. 1999; 19: 10451–60. https://doi.org/10.1523/JNEUROSCI.19-23-10451.1999</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Legenstein R, Pecevski D, Maass W. A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS Comput. Biol. 2008; 4: e1000180. https://doi.org/10.1371/journal.pcbi.1000180</mixed-citation><mixed-citation xml:lang="en">Legenstein R, Pecevski D, Maass W. A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS Comput. Biol. 2008; 4: e1000180. https://doi.org/10.1371/journal.pcbi.1000180</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Сварник О.Е. Воспроизведение специфических последовательностей активности нейронов в мозге и его значение для когнитивных процессов. Экспериментальная психология. 2022; 15 (1): 33–55.. https://doi.org/10.17759/exppsy.2022150103</mixed-citation><mixed-citation xml:lang="en">Svarnik O.E. Replay of specific sequences of neuronal activity in the brain and its significance for cognitive processes. Experimental psychology (Russia). 2022; 15 (1): 33–55 (In Russ.). https://doi.org/10.17759/exppsy.2022150103</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Лущекина Е.А., Стрелец В.Б. Сравнительный анализ расстройств аутистического спектра и шизофрении в детском возрасте. Физиология человека. 2020; 46 (1): 111–22. https://doi.org/10.31857/S0131164620010117</mixed-citation><mixed-citation xml:lang="en">Lushchekina E.A., Strelets V.B. Comparative analysis of autism spectrum disorders and schizophrenia in childhood. Human physiology. 2020; 46 (1): 111–22 (In Russ.). https://doi.org/10.31857/S0131164620010117</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Werner AL, Tebartz van Elst L, Ebert D, et al. Normalization of increased retinal background noise after ADHD treatment: A neuronal correlate. Schizophr Res. 2020; 219: 77–83. https://doi.org/10.1016/j.schres.2019.04.013</mixed-citation><mixed-citation xml:lang="en">Werner AL, Tebartz van Elst L, Ebert D, et al. Normalization of increased retinal background noise after ADHD treatment: A neuronal correlate. Schizophr Res. 2020; 219: 77–83. https://doi.org/10.1016/j.schres.2019.04.013</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Shin KS, Kim JS, Kim SN, et al. Intraindividual neurophysiological variability in ultra-high-risk for psychosis and schizophrenia patients: single-trial analysis. NPJ Schizophr. 2015; 1: 15031. https://doi.org/10.1038/npjschz.2015.31</mixed-citation><mixed-citation xml:lang="en">Shin KS, Kim JS, Kim SN, et al. Intraindividual neurophysiological variability in ultra-high-risk for psychosis and schizophrenia patients: single-trial analysis. NPJ Schizophr. 2015; 1: 15031. https://doi.org/10.1038/npjschz.2015.31</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Gallucci J, Pomarol-Clotet E, Voineskos AN, et al. Longer illness duration is associated with greater individual variability in functional brain activity in Schizophrenia, but not bipolar disorder. Neuroimage Clin. 2022; 36: 103269. https://doi.org/10.1016/j.nicl.2022.103269</mixed-citation><mixed-citation xml:lang="en">Gallucci J, Pomarol-Clotet E, Voineskos AN, et al. Longer illness duration is associated with greater individual variability in functional brain activity in Schizophrenia, but not bipolar disorder. Neuroimage Clin. 2022; 36: 103269. https://doi.org/10.1016/j.nicl.2022.103269</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Червяков А.В., Пойдашева А.Г., Коржова Ю.Е. и др. Ритмическая транскраниальная магнитная стимуляция в неврологии и психиатрии. Журнал неврологии и психиатрии им. С.С. Корсакова. 2015; 12: 7–18 doi: 10.17116/jnevro20151151127-18</mixed-citation><mixed-citation xml:lang="en">Chervyakov A.V., Poydasheva A.G., Korzhova Yu.E., et al. Repetitive transcranial magnetic stimulation in neurology and psychiatry. Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova. 2015; 12: 7–18 (In Russ.). doi: 10.17116/jnevro20151151127-18</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Somaa FA, de Graaf TA, Sack AT. Transcranial magnetic stimulation in the treatment of neurological diseases. Front Neurol. 2022; 13: 793253. https://doi.org/10.3389/fneur.2022.793253</mixed-citation><mixed-citation xml:lang="en">Somaa FA, de Graaf TA, Sack AT. Transcranial magnetic stimulation in the treatment of neurological diseases. Front Neurol. 2022; 13: 793253. https://doi.org/10.3389/fneur.2022.793253</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Householder N, Simonyan A, Park W, et al. Electromagnetic stimulation for amblyopia: A systematic review of emerging techniques and their efficacy. Vision Res. 2025; 234: 108639. https://doi.org/10.1016/j.visres.2025.108639</mixed-citation><mixed-citation xml:lang="en">Householder N, Simonyan A, Park W, et al. Electromagnetic stimulation for amblyopia: A systematic review of emerging techniques and their efficacy. Vision Res. 2025; 234: 108639. https://doi.org/10.1016/j.visres.2025.108639</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Spiegel DP, Li J, Hess RF, et al. Transcranial direct current stimulation enhances recovery of stereopsis in adults with amblyopia. Neurotherapeutics. 2013; 10 (4): 831–9. https://doi.org/10.1007/s13311-013-0200-y</mixed-citation><mixed-citation xml:lang="en">Spiegel DP, Li J, Hess RF, et al. Transcranial direct current stimulation enhances recovery of stereopsis in adults with amblyopia. Neurotherapeutics. 2013; 10 (4): 831–9. https://doi.org/10.1007/s13311-013-0200-y</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Chen R, Classen J, Gerloff C, et al. Depression of motor cortex excitability by low-frequency transcranial magnetic stimulation. Neurology. 1997; 48 (5): 1398–403. https://doi.org/10.1212/wnl.48.5.1398</mixed-citation><mixed-citation xml:lang="en">Chen R, Classen J, Gerloff C, et al. Depression of motor cortex excitability by low-frequency transcranial magnetic stimulation. Neurology. 1997; 48 (5): 1398–403. https://doi.org/10.1212/wnl.48.5.1398</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Chen R. Studies of human motor physiology with transcranial magnetic stimulation. Muscle Nerve Suppl. 2000; 9: S26–32. https://doi.org/10.1002/1097-4598(2000)999:9&lt;::aid-mus6&gt;3.0.co;2-i</mixed-citation><mixed-citation xml:lang="en">Chen R. Studies of human motor physiology with transcranial magnetic stimulation. Muscle Nerve Suppl. 2000; 9: S26–32. https://doi.org/10.1002/1097-4598(2000)999:9&lt;::aid-mus6&gt;3.0.co;2-i</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Lefaucheur JP. Transcranial magnetic stimulation. Handb Clin Neurol. 2019; 160: 559–80. https://doi.org/10.1016/B978-0-444-64032-1.00037-0</mixed-citation><mixed-citation xml:lang="en">Lefaucheur JP. Transcranial magnetic stimulation. Handb Clin Neurol. 2019; 160: 559–80. https://doi.org/10.1016/B978-0-444-64032-1.00037-0</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Tuna AR, Pinto N, Brardo FM, et al. Transcranial magnetic stimulation in adults with amblyopia. J Neuroophthalmol. 2020; 40 (2): 185–92. https://doi.org/10.1097/WNO.0000000000000828</mixed-citation><mixed-citation xml:lang="en">Tuna AR, Pinto N, Brardo FM, et al. Transcranial magnetic stimulation in adults with amblyopia. J Neuroophthalmol. 2020; 40 (2): 185–92. https://doi.org/10.1097/WNO.0000000000000828</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Donkor R, Silva AE, Teske C, et al. Repetitive visual cortex transcranial random noise stimulation in adults with amblyopia. Sci Rep. 2021; 11 (1): 3029. https://doi.org/10.1038/s41598-020-80843-8</mixed-citation><mixed-citation xml:lang="en">Donkor R, Silva AE, Teske C, et al. Repetitive visual cortex transcranial random noise stimulation in adults with amblyopia. Sci Rep. 2021; 11 (1): 3029. https://doi.org/10.1038/s41598-020-80843-8</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Gao J, Wang H, Liu Y, et al. Glutamate and GABA imbalance promotes neuronal apoptosis in hippocampus after stress. Me. Sci. Monit. 2014; 20: 499–512. https://doi.org/10.12659/MSM.890589</mixed-citation><mixed-citation xml:lang="en">Gao J, Wang H, Liu Y, et al. Glutamate and GABA imbalance promotes neuronal apoptosis in hippocampus after stress. Me. Sci. Monit. 2014; 20: 499–512. https://doi.org/10.12659/MSM.890589</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Sears SM, Hewett SJ. Influence of glutamate and GABA transport on brain excitatory/inhibitory balance. Exp Biol Med. (Maywood). 2021; 246 (9): 1069–83. https://doi.org/10.1177/1535370221989263</mixed-citation><mixed-citation xml:lang="en">Sears SM, Hewett SJ. Influence of glutamate and GABA transport on brain excitatory/inhibitory balance. Exp Biol Med. (Maywood). 2021; 246 (9): 1069–83. https://doi.org/10.1177/1535370221989263</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Chapman CA, Nuwer JL, Jacob TC. The Yin and Yang of GABAergic and glutamatergic synaptic plasticity: opposites in balance by crosstalking mechanisms. Front Synaptic Neurosci. 2022; 14: 911020. https://doi.org/10.3389/fnsyn.2022.911020</mixed-citation><mixed-citation xml:lang="en">Chapman CA, Nuwer JL, Jacob TC. The Yin and Yang of GABAergic and glutamatergic synaptic plasticity: opposites in balance by crosstalking mechanisms. Front Synaptic Neurosci. 2022; 14: 911020. https://doi.org/10.3389/fnsyn.2022.911020</mixed-citation></citation-alternatives></ref><ref id="cit69"><label>69</label><citation-alternatives><mixed-citation xml:lang="ru">Caporale N. Dan Y. Spike timing-dependent plasticity: a Hebbian learning rule. Annu Rev Neurosci. 2008; 31: 25–46. https://doi.org/10.1146/annurev.neuro.31.060407.125639</mixed-citation><mixed-citation xml:lang="en">Caporale N. Dan Y. Spike timing-dependent plasticity: a Hebbian learning rule. Annu Rev Neurosci. 2008; 31: 25–46. https://doi.org/10.1146/ annurev.neuro.31.060407.125639</mixed-citation></citation-alternatives></ref><ref id="cit70"><label>70</label><citation-alternatives><mixed-citation xml:lang="ru">Li J, Thompson B, Deng D, et al. Dichoptic training enables the adult amblyopic brain to learn. Curr. Biol. 2013; 23, R308–R309. https://doi.org/10.1016/j.cub.2013.01.059</mixed-citation><mixed-citation xml:lang="en">Li J, Thompson B, Deng D, et al. Dichoptic training enables the adult amblyopic brain to learn. Curr. Biol. 2013; 23, R308–R309. https://doi.org/10.1016/j.cub.2013.01.059</mixed-citation></citation-alternatives></ref><ref id="cit71"><label>71</label><citation-alternatives><mixed-citation xml:lang="ru">Holmes JM, Manh VM, Lazar EL, et al. Effect of a binocular iPad game vs part-time patching in children aged 5 to 12 years with amblyopia: a randomized clinical trial. JAMA Ophthalmol. 2016; 134: 1391–400. https://doi.org/10.1001/jamaophthalmol.2016.4262</mixed-citation><mixed-citation xml:lang="en">Holmes JM, Manh VM, Lazar EL, et al. Effect of a binocular iPad game vs part-time patching in children aged 5 to 12 years with amblyopia: a randomized clinical trial. JAMA Ophthalmol. 2016; 134: 1391–400. https://doi.org/10.1001/jamaophthalmol.2016.4262</mixed-citation></citation-alternatives></ref><ref id="cit72"><label>72</label><citation-alternatives><mixed-citation xml:lang="ru">Herbison N, MacKeith D, Vivian A, et al. Randomised controlled trial of video clips and interactive games to improve vision in children with amblyopia using the I-BiT system. Br J Ophthalmol. 2016; 100: 1511–6. https://doi.org/10.1136/bjophthalmol-2015-307798</mixed-citation><mixed-citation xml:lang="en">Herbison N, MacKeith D, Vivian A, et al. Randomised controlled trial of video clips and interactive games to improve vision in children with amblyopia using the I-BiT system. Br J Ophthalmol. 2016; 100: 1511–6. https://doi.org/10.1136/bjophthalmol-2015-307798</mixed-citation></citation-alternatives></ref><ref id="cit73"><label>73</label><citation-alternatives><mixed-citation xml:lang="ru">Molina-Martín A, Leal-Vega L, de Fez D, et al. Amblyopia treatment through immersive virtual reality: a preliminary experience in anisometropic children. Vision (Basel). 2023; 7 (2): 42. https://doi.org/10.3390/vision7020042</mixed-citation><mixed-citation xml:lang="en">Molina-Martín A, Leal-Vega L, de Fez D, et al. Amblyopia treatment through immersive virtual reality: a preliminary experience in anisometropic children. Vision (Basel). 2023; 7 (2): 42. https://doi.org/10.3390/vision7020042</mixed-citation></citation-alternatives></ref><ref id="cit74"><label>74</label><citation-alternatives><mixed-citation xml:lang="ru">Jiménez-Rodríguez C, Yélamos-Capel L, Salvestrini P, et al. Rehabilitation of visual functions in adult amblyopic patients with a virtual reality videogame: a case series. Virtual Reality. 2023; 27: 385–96. https://doi.org/10.1007/s10055-021-00605-3</mixed-citation><mixed-citation xml:lang="en">Jiménez-Rodríguez C, Yélamos-Capel L, Salvestrini P, et al. Rehabilitation of visual functions in adult amblyopic patients with a virtual reality videogame: a case series. Virtual Reality. 2023; 27: 385–96. https://doi.org/10.1007/s10055-021-00605-3</mixed-citation></citation-alternatives></ref><ref id="cit75"><label>75</label><citation-alternatives><mixed-citation xml:lang="ru">Khaleghi A, Aghaei Z, Hosseinni F. Toward using effective elements in adults’ amblyopia treatment in a virtual reality-based gamified binocular application. Entertainment Computing. 2022; 43: 100504. https://doi.org/10.1016/j.entcom.2022.100504</mixed-citation><mixed-citation xml:lang="en">Khaleghi A, Aghaei Z, Hosseinni F. Toward using effective elements in adults’ amblyopia treatment in a virtual reality-based gamified binocular application. Entertainment Computing. 2022; 43: 100504. https://doi.org/10.1016/j.entcom.2022.100504</mixed-citation></citation-alternatives></ref><ref id="cit76"><label>76</label><citation-alternatives><mixed-citation xml:lang="ru">Sengpiel F. Amblyopia: Out of the dark, into the light. Curr Biol. 2013; 23: R195–R196. https://doi.org/10.1016/j.cub.2013.01.034</mixed-citation><mixed-citation xml:lang="en">Sengpiel F. Amblyopia: Out of the dark, into the light. Curr Biol. 2013; 23: R195–R196. https://doi.org/10.1016/j.cub.2013.01.034</mixed-citation></citation-alternatives></ref><ref id="cit77"><label>77</label><citation-alternatives><mixed-citation xml:lang="ru">Sale A, Maya Vetencourt JF, Medini P, et al. Environmental enrichment inadulthood promotes amblyopia recovery through a reduction of intracortical inhibition. Nat Neurosci. 2007 Jun; 10 (6): 679–81. doi: 10.1038/nn1899</mixed-citation><mixed-citation xml:lang="en">Sale A, Maya Vetencourt JF, Medini P, et al. Environmental enrichment inadulthood promotes amblyopia recovery through a reduction of intracortical inhibition. Nat Neurosci. 2007 Jun; 10 (6): 679–81. doi: 10.1038/nn1899</mixed-citation></citation-alternatives></ref><ref id="cit78"><label>78</label><citation-alternatives><mixed-citation xml:lang="ru">He HY, Ray B, Dennis K, Quinlan EM. Experience-dependent recovery of vision following chronic deprivation amblyopia. Na. Neurosci. 2007; 10 (9): 1134–6. https://doi.org/10.1038/nn1965</mixed-citation><mixed-citation xml:lang="en">He HY, Ray B, Dennis K, Quinlan EM. Experience-dependent recovery of vision following chronic deprivation amblyopia. Na. Neurosci. 2007; 10 (9): 1134–6. https://doi.org/10.1038/nn1965</mixed-citation></citation-alternatives></ref><ref id="cit79"><label>79</label><citation-alternatives><mixed-citation xml:lang="ru">Zueva MV, Maghlakelidze N. The prospects of applying of technologies of nonlinear stimulation therapy to treat amblyopia. Glob J Intellect Dev Disabil. 2017; 1 (2): 555556. https://doi.org/10.19080/GJIDD.2017.01.555556</mixed-citation><mixed-citation xml:lang="en">Zueva MV, Maghlakelidze N. The prospects of applying of technologies of nonlinear stimulation therapy to treat amblyopia. Glob J Intellect Dev Disabil. 2017; 1 (2): 555556. https://doi.org/10.19080/GJIDD.2017.01.555556</mixed-citation></citation-alternatives></ref><ref id="cit80"><label>80</label><citation-alternatives><mixed-citation xml:lang="ru">Birch EE, Duffy KR. Leveraging neural plasticity for the treatment of amblyopia. Surv Ophthalmol. 2024; 69 (5): 818–32. https://doi.org/10.1016/j.survophthal.2024.04.006</mixed-citation><mixed-citation xml:lang="en">Birch EE, Duffy KR. Leveraging neural plasticity for the treatment of amblyopia. Surv Ophthalmol. 2024; 69 (5): 818–32. https://doi.org/10.1016/j.survophthal.2024.04.006</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
