{"doi":"10.3389/fncom.2014.00057","article_number":"57","day":"28","main_file_link":[{"url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035833/","open_access":"1"}],"intvolume":"         8","date_published":"2014-05-28T00:00:00Z","title":"Emergence of task-dependent representations in working memory circuits","scopus_import":1,"user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","oa":1,"month":"05","date_updated":"2024-10-09T20:55:47Z","corr_author":"1","publication":"Frontiers in Computational Neuroscience","citation":{"apa":"Savin, C., &#38; Triesch, J. (2014). Emergence of task-dependent representations in working memory circuits. <i>Frontiers in Computational Neuroscience</i>. Frontiers Research Foundation. <a href=\"https://doi.org/10.3389/fncom.2014.00057\">https://doi.org/10.3389/fncom.2014.00057</a>","chicago":"Savin, Cristina, and Jochen Triesch. “Emergence of Task-Dependent Representations in Working Memory Circuits.” <i>Frontiers in Computational Neuroscience</i>. Frontiers Research Foundation, 2014. <a href=\"https://doi.org/10.3389/fncom.2014.00057\">https://doi.org/10.3389/fncom.2014.00057</a>.","ieee":"C. Savin and J. Triesch, “Emergence of task-dependent representations in working memory circuits,” <i>Frontiers in Computational Neuroscience</i>, vol. 8, no. MAY. Frontiers Research Foundation, 2014.","short":"C. Savin, J. Triesch, Frontiers in Computational Neuroscience 8 (2014).","mla":"Savin, Cristina, and Jochen Triesch. “Emergence of Task-Dependent Representations in Working Memory Circuits.” <i>Frontiers in Computational Neuroscience</i>, vol. 8, no. MAY, 57, Frontiers Research Foundation, 2014, doi:<a href=\"https://doi.org/10.3389/fncom.2014.00057\">10.3389/fncom.2014.00057</a>.","ama":"Savin C, Triesch J. Emergence of task-dependent representations in working memory circuits. <i>Frontiers in Computational Neuroscience</i>. 2014;8(MAY). doi:<a href=\"https://doi.org/10.3389/fncom.2014.00057\">10.3389/fncom.2014.00057</a>","ista":"Savin C, Triesch J. 2014. Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. 8(MAY), 57."},"publisher":"Frontiers Research Foundation","_id":"1931","acknowledgement":"Supported in part by EC MEXT project PLICON and the LOEWE-Program “Neuronal Coordination Research Focus Frankfurt” (NeFF). Jochen Triesch was supported by the Quandt foundation.","date_created":"2018-12-11T11:54:46Z","language":[{"iso":"eng"}],"issue":"MAY","publist_id":"5163","author":[{"first_name":"Cristina","last_name":"Savin","id":"3933349E-F248-11E8-B48F-1D18A9856A87","full_name":"Savin, Cristina"},{"first_name":"Jochen","last_name":"Triesch","full_name":"Triesch, Jochen"}],"oa_version":"Submitted Version","abstract":[{"text":"A wealth of experimental evidence suggests that working memory circuits preferentially represent information that is behaviorally relevant. Still, we are missing a mechanistic account of how these representations come about. Here we provide a simple explanation for a range of experimental findings, in light of prefrontal circuits adapting to task constraints by reward-dependent learning. In particular, we model a neural network shaped by reward-modulated spike-timing dependent plasticity (r-STDP) and homeostatic plasticity (intrinsic excitability and synaptic scaling). We show that the experimentally-observed neural representations naturally emerge in an initially unstructured circuit as it learns to solve several working memory tasks. These results point to a critical, and previously unappreciated, role for reward-dependent learning in shaping prefrontal cortex activity.","lang":"eng"}],"volume":8,"publication_status":"published","quality_controlled":"1","status":"public","year":"2014","department":[{"_id":"GaTk"}],"type":"journal_article"}