Flexible categorization in perceptual decision making
Prat-Ortega, Genís (Centre de Recerca Matemàtica)
Wimmer, Klaus (Centre de Recerca Matemàtica)
Roxin, Alex (Centre de Recerca Matemàtica)
de la Rocha, Jaime (Institut d'Investigacions Biomèdiques August Pi i Sunyer)

Date:	2021
Abstract:	Perceptual decisions rely on accumulating sensory evidence. This computation has been studied using either drift diffusion models or neurobiological network models exhibiting winner-take-all attractor dynamics. Although both models can account for a large amount of data, it remains unclear whether their dynamics are qualitatively equivalent. Here we show that in the attractor model, but not in the drift diffusion model, an increase in the stimulus fluctuations or the stimulus duration promotes transitions between decision states. The increase in the number of transitions leads to a crossover between weighting mostly early evidence (primacy) to weighting late evidence (recency), a prediction we validate with psychophysical data. Between these two limiting cases, we found a novel flexible categorization regime, in which fluctuations can reverse initially-incorrect categorizations. This reversal asymmetry results in a non-monotonic psychometric curve, a distinctive feature of the attractor model. Our findings point to correcting decision reversals as an important feature of perceptual decision making.
Grants:	Ministerio de Economía y Competitividad RYC-2015-17236 Agencia Estatal de Investigación BFU2017-86026-R Ministerio de Economía y Competitividad MTM2015-71509-C2-1-R Agencia Estatal de Investigación RTI2018-097570-B-I00 Ministerio de Economía y Competitividad SAF2015-70324-R Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1565 European Commission 683209
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Cognitive neuroscience ; Computational neuroscience ; Network models ; Neural circuits ; Sensory processing
Published in:	Nature communications, Vol. 12 (February 2021) , art. 1283, ISSN 2041-1723

DOI: 10.1038/s41467-021-21501-z
PMID: 33627643

15 p, 1.7 MB

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