{"pk":29599,"title":"Recurrent top-down synaptic connections at different spatial frequencies helpdisambiguate between dynamic emotions","subtitle":null,"abstract":"The coarse-to-fine hypothesis posits that, in the Human visualsystem, a coarse representation of visual information is propa-gated quickly through the retina to the cortex, whereas a finer,more detailed representation is propagated more slowly. In aprevious study we showed that recurrent synaptic connectionshelp predict low intensity EFEs. Furthermore, a feedback loopcoming from coarser information processing is postulated toinfluence later processing of finer features. In this paper, weintend to examine the value of coarser information and recur-rence in the processing of dynamic Emotional Facial Expres-sions (EFE). In a step forward in studying the importance ofrecurrent connectivity in the coarse-to-fine model, we testedits advantage for discriminating emotions for different spatialfrequencies and facial expression intensities. Using ArtificialNeural Networks, we modeled recurrent synaptic connectionswith a recurrent feedback loop. Using a Gabor filter bank, wecomputed different levels of spatial frequency features. Our re-sults replicate the advantage of recurrence at first facial expres-sion intensities. Our main finding is that the recurrent model isalso better when predicting high spatial frequencies features.Additionally, mid-to-low spatial frequencies are more usefulto the prediction of EFEs. We conclude that feature process-ing feedback has a significant effect in disambiguating facialexpressions when information is particularly complex, i.e., athigh spatial frequencies and low EFE intensities.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Proactive Brain"},{"word":"Neural Network modeling"},{"word":"Emotional Facial Expressions"},{"word":"Spatial Frequencies."}],"section":"Poster Session 1","is_remote":true,"remote_url":"https://escholarship.org/uc/item/8414h2fk","frozenauthors":[{"first_name":"Erwan","middle_name":"","last_name":"David","name_suffix":"","institution":"Goethe-Universität Frankfurt","department":""},{"first_name":"Yannick","middle_name":"","last_name":"Bourrier","name_suffix":"","institution":"Université Grenoble Alpes","department":""},{"first_name":"Roman","middle_name":"","last_name":"Vuillaume","name_suffix":"","institution":"Université de Bourgogne","department":""},{"first_name":"Martial","middle_name":"","last_name":"Mermillod","name_suffix":"","institution":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29599/galley/19458/download/"}]}