{"id":14886,"date":"2024-01-12T17:21:31","date_gmt":"2024-01-12T16:21:31","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&#038;p=14886"},"modified":"2024-01-12T17:21:31","modified_gmt":"2024-01-12T16:21:31","slug":"emergent-computations-in-trained-neural-networks-and-real-brains","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/emergent-computations-in-trained-neural-networks-and-real-brains\/","title":{"rendered":"Emergent Computations in Trained Neural Networks and Real Brains"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">N\u00e9stor Parga, Luis Serrano-Fern\u00e1ndez, and Joan Falc\u00f3-Roget<\/h2>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Synaptic plasticity allows cortical circuits to learn new tasks and to adapt to changing environments. How do cortical circuits use plasticity to acquire functions such as decision-making or working memory? Neurons are connected in complex ways, forming recurrent neural networks, and learning modifies the strength of their connections. Moreover, neurons communicate emitting brief discrete electric signals. Here we describe how to train recurrent neural networks in tasks like those used to train animals in neuroscience laboratories and how computations emerge in the trained networks. Surprisingly, artificial networks and real brains can use similar computational strategies.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n\t\n    \n        \n\t\t\t<a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1748-0221\/18\/02\/C02060\" target=\"_blank\" rel= \"noopener noreferrer nofollow\" class=\"button primary \">\n\n\t\t\t\t<span>\n\t\t\t\t\tREAD HERE\n\t\t\t\t<\/span>\n\n\t\t\t<\/a>\n\n        \n    \n","protected":false},"excerpt":{"rendered":"<p>In: Journal of Instrumentation, 2023.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[8],"research_team":[15],"class_list":["post-14886","research","type-research","status-publish","hentry","research_type-publications","research_team-computational-neuroscience"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Emergent Computations in Trained Neural Networks and Real Brains - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/research\/emergent-computations-in-trained-neural-networks-and-real-brains\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Emergent Computations in Trained Neural Networks and Real Brains\" \/>\n<meta property=\"og:description\" content=\"In: Journal of Instrumentation, 2023.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/research\/emergent-computations-in-trained-neural-networks-and-real-brains\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/emergent-computations-in-trained-neural-networks-and-real-brains\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/research\\\/emergent-computations-in-trained-neural-networks-and-real-brains\\\/\",\"name\":\"Emergent Computations in Trained Neural Networks and Real Brains - 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