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However, how such correlated neural fluctuations may arise from the intrinsic neural circuit dynamics and subsequently affect the computational properties of neural population activity remains poorly understood. The main difficulty lies in resolving the nonlinear coupling between correlated fluctuations with the overall dynamics of the system. In this study, we investigate the emergence of synergistic neural population codes from the intrinsic dynamics of correlated neural fluctuations in a neural circuit model capturing realistic nonlinear noise coupling of spiking neurons. We show that a rich repertoire of spatial correlation patterns naturally emerges in a bump attractor network and further reveals the dynamical regime under which the interplay between differential and noise correlations leads to synergistic codes. Moreover, we find that negative correlations may induce stable bound states between two bumps, a phenomenon previously unobserved in firing rate models. These noise-induced effects of bump attractors lead to a number of computational advantages including enhanced working memory capacity and efficient spatiotemporal multiplexing and can account for a range of cognitive and behavioral phenomena related to working memory. This study offers a dynamical approach to investigating realistic correlated neural fluctuations and insights to their roles in cortical computations.<\/jats:p>","DOI":"10.1162\/neco_a_01612","type":"journal-article","created":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T18:50:25Z","timestamp":1695149425000},"page":"1820-1849","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":7,"title":["Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes"],"prefix":"10.1162","volume":"35","author":[{"given":"Hengyuan","family":"Ma","sequence":"first","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China hangyuanma21@m.fudan.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Qi","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China"},{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China yang_qi@fudan.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pulin","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Physics, University of Sydney, Sydney, NSW 2006, Australia pulin.gong@sydney.edu.au"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China"},{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China jzhang080@gmail.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-lian","family":"Lu","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China"},{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China wenlian@fudan.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianfeng","family":"Feng","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, China"},{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai 200433, China"},{"name":"Department of Computer Science, University of Warwick, Coventry, CV4 7AL, U.K. jffeng@fudan.edu.cn"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","published-online":{"date-parts":[[2023,10,10]]},"reference":[{"issue":"2","key":"2023101122595709200_bib1","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1038\/nrn3668","article-title":"Oscillatory multiplexing of population codes for selective communication in the mammalian brain","volume":"15","author":"Akam","year":"2014","journal-title":"Nature Reviews Neuroscience"},{"issue":"3","key":"2023101122595709200_bib2","doi-asserted-by":"publisher","first-page":"1806","DOI":"10.1152\/jn.00362.2015","article-title":"Neural circuit basis of visuo-spatial working memory precision: A computational and behavioral study","volume":"114","author":"Almeida","year":"2015","journal-title":"Journal of Neurophysiology"},{"issue":"2","key":"2023101122595709200_bib3","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/BF00337259","article-title":"Dynamics of pattern formation in lateral-inhibition type neural fields","volume":"27","author":"Amari","year":"1977","journal-title":"Biological Cybernetics"},{"issue":"4","key":"2023101122595709200_bib4","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1088\/0954-898X_8_4_003","article-title":"Dynamics of a recurrent network of spiking neurons before and following learning","volume":"8","author":"Amit","year":"1997","journal-title":"Network: Computation in Neural Systems"},{"issue":"3","key":"2023101122595709200_bib5","article-title":"Quantitative study of attractor neural network retrieving at low spike rates. 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