Flexible integration of continuous sensory evidence in perceptual estimation tasks

Temporal accumulation of evidence is crucial for making accurate judgments based on noisy or ambiguous sensory input. The integration process leading to categorical decisions is thought to rely on competition between neural populations, each encoding a discrete categorical choice. How recurrent neur...

Descripción completa

Detalles Bibliográficos
Autores: Esnaola-Acebesa, Jose M., Roxina, Alex, Wimmer, Klaus
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2072/534381
Acceso en línea:http://hdl.handle.net/2072/534381
Access Level:acceso abierto
Palabra clave:Attractor dynamics
evidence integration
perceptual decision making
recurrent neural networks.
id ES_4da16c0c0899bc918d9dd5cd68d19bb7
oai_identifier_str oai:recercat.cat:2072/534381
network_acronym_str ES
network_name_str España
repository_id_str
spelling Flexible integration of continuous sensory evidence in perceptual estimation tasksEsnaola-Acebesa, Jose M.Roxina, AlexWimmer, KlausAttractor dynamicsevidence integrationperceptual decision makingrecurrent neural networks.Temporal accumulation of evidence is crucial for making accurate judgments based on noisy or ambiguous sensory input. The integration process leading to categorical decisions is thought to rely on competition between neural populations, each encoding a discrete categorical choice. How recurrent neural circuits integrate evidence for continuous perceptual judgments is unknown. Here, we show that a continuous bump attractor network can integrate a circular feature, such as stimulus direction, nearly optimally. As required by optimal integration, the population activity of the network unfolds on a two-dimensional manifold, in which the position of the network’s activity bump tracks the stimulus average, and, simultaneously, the bump amplitude tracks stimulus uncertainty. Moreover, the temporal weighting of sensory evidence by the network depends on the relative strength of the stimulus compared to the internally generated bump dynamics, yielding either early (primacy), uniform, or late (recency) weighting. The model can flexibly switch between these regimes by changing a single control parameter, the global excitatory drive. We show that this mechanism can quantitatively explain individual temporal weighting profiles of human observers, and we validate the model prediction that temporal weighting impacts reaction times. Our findings point to continuous attractor dynamics as a plausible neural mechanism underlying stimulus integration in perceptual estimation tasks.This work was supported by the Flag-Era project from the European Union for the Human Brain Project HIPPOPLAST (Era-ICT Code PCI2018-093095) to A.R. and the Spanish State Research Agency together with the European Regional Development Fund (RYC-2015-17236, BFU2017-86026-R, and PID2020-112838RB-I00 [to K.W.]; RTI2018-097570-B-100 and RED2018-102323-T [to A.R.]; and through the Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R&D, CEX2020-001084-M). We thank Centres de Recerca de Catalunya Programme/Generalitat de Catalunya for institutional support.National Academy of Sciences2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion11 p.application/pdfhttp://hdl.handle.net/2072/534381RECERCAT (Dipòsit de la Recerca de Catalunya)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésProceedings of the National Academy of Sciences (PNAS)L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2072/5343812026-05-29T05:05:01Z
dc.title.none.fl_str_mv Flexible integration of continuous sensory evidence in perceptual estimation tasks
title Flexible integration of continuous sensory evidence in perceptual estimation tasks
spellingShingle Flexible integration of continuous sensory evidence in perceptual estimation tasks
Esnaola-Acebesa, Jose M.
Attractor dynamics
evidence integration
perceptual decision making
recurrent neural networks.
title_short Flexible integration of continuous sensory evidence in perceptual estimation tasks
title_full Flexible integration of continuous sensory evidence in perceptual estimation tasks
title_fullStr Flexible integration of continuous sensory evidence in perceptual estimation tasks
title_full_unstemmed Flexible integration of continuous sensory evidence in perceptual estimation tasks
title_sort Flexible integration of continuous sensory evidence in perceptual estimation tasks
dc.creator.none.fl_str_mv Esnaola-Acebesa, Jose M.
Roxina, Alex
Wimmer, Klaus
author Esnaola-Acebesa, Jose M.
author_facet Esnaola-Acebesa, Jose M.
Roxina, Alex
Wimmer, Klaus
author_role author
author2 Roxina, Alex
Wimmer, Klaus
author2_role author
author
dc.subject.none.fl_str_mv Attractor dynamics
evidence integration
perceptual decision making
recurrent neural networks.
topic Attractor dynamics
evidence integration
perceptual decision making
recurrent neural networks.
description Temporal accumulation of evidence is crucial for making accurate judgments based on noisy or ambiguous sensory input. The integration process leading to categorical decisions is thought to rely on competition between neural populations, each encoding a discrete categorical choice. How recurrent neural circuits integrate evidence for continuous perceptual judgments is unknown. Here, we show that a continuous bump attractor network can integrate a circular feature, such as stimulus direction, nearly optimally. As required by optimal integration, the population activity of the network unfolds on a two-dimensional manifold, in which the position of the network’s activity bump tracks the stimulus average, and, simultaneously, the bump amplitude tracks stimulus uncertainty. Moreover, the temporal weighting of sensory evidence by the network depends on the relative strength of the stimulus compared to the internally generated bump dynamics, yielding either early (primacy), uniform, or late (recency) weighting. The model can flexibly switch between these regimes by changing a single control parameter, the global excitatory drive. We show that this mechanism can quantitatively explain individual temporal weighting profiles of human observers, and we validate the model prediction that temporal weighting impacts reaction times. Our findings point to continuous attractor dynamics as a plausible neural mechanism underlying stimulus integration in perceptual estimation tasks.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/2072/534381
url http://hdl.handle.net/2072/534381
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Proceedings of the National Academy of Sciences (PNAS)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11 p.
application/pdf
dc.publisher.none.fl_str_mv National Academy of Sciences
publisher.none.fl_str_mv National Academy of Sciences
dc.source.none.fl_str_mv RECERCAT (Dipòsit de la Recerca de Catalunya)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407704285446144
score 15,812429

Similares en LA Referencia