{"article_processing_charge":"No","main_file_link":[{"open_access":"1","url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035833/"}],"date_published":"2014-05-28T00:00:00Z","author":[{"id":"3933349E-F248-11E8-B48F-1D18A9856A87","last_name":"Savin","full_name":"Savin, Cristina","first_name":"Cristina"},{"last_name":"Triesch","first_name":"Jochen","full_name":"Triesch, Jochen"}],"department":[{"_id":"GaTk"}],"intvolume":" 8","date_created":"2018-12-11T11:54:46Z","day":"28","month":"05","citation":{"mla":"Savin, Cristina, and Jochen Triesch. “Emergence of Task-Dependent Representations in Working Memory Circuits.” Frontiers in Computational Neuroscience, vol. 8, no. MAY, 57, Frontiers Research Foundation, 2014, doi:10.3389/fncom.2014.00057.","ieee":"C. Savin and J. Triesch, “Emergence of task-dependent representations in working memory circuits,” Frontiers in Computational Neuroscience, vol. 8, no. MAY. Frontiers Research Foundation, 2014.","ama":"Savin C, Triesch J. Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. 2014;8(MAY). doi:10.3389/fncom.2014.00057","short":"C. Savin, J. Triesch, Frontiers in Computational Neuroscience 8 (2014).","chicago":"Savin, Cristina, and Jochen Triesch. “Emergence of Task-Dependent Representations in Working Memory Circuits.” Frontiers in Computational Neuroscience. Frontiers Research Foundation, 2014. https://doi.org/10.3389/fncom.2014.00057.","apa":"Savin, C., & Triesch, J. (2014). Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. Frontiers Research Foundation. https://doi.org/10.3389/fncom.2014.00057","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","year":"2014","title":"Emergence of task-dependent representations in working memory circuits","_id":"1931","oa_version":"Submitted Version","status":"public","publication":"Frontiers in Computational Neuroscience","date_updated":"2025-09-29T12:11:13Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","language":[{"iso":"eng"}],"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"}],"quality_controlled":"1","corr_author":"1","external_id":{"isi":["000336715400001"]},"scopus_import":"1","oa":1,"type":"journal_article","issue":"MAY","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.","article_number":"57","volume":8,"publist_id":"5163","publication_status":"published","isi":1,"doi":"10.3389/fncom.2014.00057"}