{"language":[{"iso":"eng"}],"_id":"12332","ec_funded":1,"article_type":"original","citation":{"mla":"Mlynarski, Wiktor F., and Gašper Tkačik. “Efficient Coding Theory of Dynamic Attentional Modulation.” <i>PLoS Biology</i>, vol. 20, no. 12, Public Library of Science, 2022, p. e3001889, doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001889\">10.1371/journal.pbio.3001889</a>.","ieee":"W. F. Mlynarski and G. Tkačik, “Efficient coding theory of dynamic attentional modulation,” <i>PLoS Biology</i>, vol. 20, no. 12. Public Library of Science, p. e3001889, 2022.","ama":"Mlynarski WF, Tkačik G. Efficient coding theory of dynamic attentional modulation. <i>PLoS Biology</i>. 2022;20(12):e3001889. doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001889\">10.1371/journal.pbio.3001889</a>","apa":"Mlynarski, W. F., &#38; Tkačik, G. (2022). Efficient coding theory of dynamic attentional modulation. <i>PLoS Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.3001889\">https://doi.org/10.1371/journal.pbio.3001889</a>","chicago":"Mlynarski, Wiktor F, and Gašper Tkačik. “Efficient Coding Theory of Dynamic Attentional Modulation.” <i>PLoS Biology</i>. Public Library of Science, 2022. <a href=\"https://doi.org/10.1371/journal.pbio.3001889\">https://doi.org/10.1371/journal.pbio.3001889</a>.","ista":"Mlynarski WF, Tkačik G. 2022. Efficient coding theory of dynamic attentional modulation. PLoS Biology. 20(12), e3001889.","short":"W.F. Mlynarski, G. Tkačik, PLoS Biology 20 (2022) e3001889."},"publication_identifier":{"eissn":["1545-7885"]},"external_id":{"isi":["000925192000001"]},"page":"e3001889","doi":"10.1371/journal.pbio.3001889","has_accepted_license":"1","author":[{"id":"358A453A-F248-11E8-B48F-1D18A9856A87","full_name":"Mlynarski, Wiktor F","first_name":"Wiktor F","last_name":"Mlynarski"},{"full_name":"Tkačik, Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","orcid":"1"}],"publication":"PLoS Biology","ddc":["570"],"project":[{"grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism"},{"_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","call_identifier":"H2020"}],"acknowledgement":"We thank Robbe Goris for generously providing figures from his work and Ann M. Hermundstad for helpful discussions.\r\nGT & WM were supported by the Austrian Science Fund Standalone Grant P 34015 \"Efficient Coding with Biophysical Realism\" (https://pf.fwf.ac.at/) WM was additionally supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 754411 (https://ec.europa.eu/research/mariecurieactions/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","file_date_updated":"2023-01-23T08:46:40Z","isi":1,"year":"2022","volume":20,"intvolume":"        20","abstract":[{"lang":"eng","text":"Activity of sensory neurons is driven not only by external stimuli but also by feedback signals from higher brain areas. Attention is one particularly important internal signal whose presumed role is to modulate sensory representations such that they only encode information currently relevant to the organism at minimal cost. This hypothesis has, however, not yet been expressed in a normative computational framework. Here, by building on normative principles of probabilistic inference and efficient coding, we developed a model of dynamic population coding in the visual cortex. By continuously adapting the sensory code to changing demands of the perceptual observer, an attention-like modulation emerges. This modulation can dramatically reduce the amount of neural activity without deteriorating the accuracy of task-specific inferences. Our results suggest that a range of seemingly disparate cortical phenomena such as intrinsic gain modulation, attention-related tuning modulation, and response variability could be manifestations of the same underlying principles, which combine efficient sensory coding with optimal probabilistic inference in dynamic environments."}],"department":[{"_id":"GaTk"}],"issue":"12","publication_status":"published","date_published":"2022-12-21T00:00:00Z","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"date_updated":"2023-08-03T14:23:49Z","month":"12","article_processing_charge":"No","day":"21","file":[{"checksum":"5d7f1111a87e5f2c1bf92f8886738894","relation":"main_file","access_level":"open_access","creator":"dernst","file_name":"2022_PloSBiology_Mlynarski.pdf","content_type":"application/pdf","date_updated":"2023-01-23T08:46:40Z","date_created":"2023-01-23T08:46:40Z","file_size":4248838,"success":1,"file_id":"12337"}],"type":"journal_article","status":"public","quality_controlled":"1","title":"Efficient coding theory of dynamic attentional modulation","scopus_import":"1","publisher":"Public Library of Science","date_created":"2023-01-22T23:00:55Z","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","oa":1,"oa_version":"Published Version"}