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Flexible categorization in perceptual decision making

View ORCID ProfileGenís Prat-Ortega, View ORCID ProfileKlaus Wimmer, View ORCID ProfileAlex Roxin, View ORCID ProfileJaime de la Rocha
doi: https://doi.org/10.1101/2020.05.23.110460
Genís Prat-Ortega
1IDIBAPS, Rosselló 149, Barcelona, 08036, Spain
2Centre de Recerca Matemàtica, Bellaterra, Spain
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  • ORCID record for Genís Prat-Ortega
  • For correspondence: genisprat@gmail.com jrochav@clinic.cat
Klaus Wimmer
2Centre de Recerca Matemàtica, Bellaterra, Spain
3Barcelona Graduate School of Mathematics, Barcelona, Spain
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Alex Roxin
2Centre de Recerca Matemàtica, Bellaterra, Spain
3Barcelona Graduate School of Mathematics, Barcelona, Spain
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Jaime de la Rocha
1IDIBAPS, Rosselló 149, Barcelona, 08036, Spain
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  • For correspondence: genisprat@gmail.com jrochav@clinic.cat
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Abstract

Perceptual decisions require the brain to make categorical choices based on accumulated sensory evidence. The underlying computations have been studied using either phenomenological drift diffusion models or neurobiological network models exhibiting winner-take-all attractor dynamics. Although both classes of models can account for a large body of experimental data, it remains unclear to what extent their dynamics are qualitatively equivalent. Here we show that, unlike the drift diffusion model, the attractor model can operate in different integration regimes: an increase in the stimulus fluctuations or the stimulus duration promotes transitions between decision-states leading to a crossover between weighting mostly early evidence (primacy regime) to weighting late evidence (recency regime). Between these two limiting cases, we found a novel regime, which we name flexible categorization, in which fluctuations are strong enough to reverse initial categorizations, but only if they are incorrect. This asymmetry in the reversing probability results in a non-monotonic psychometric curve, a novel and distinctive feature of the attractor model. Finally, we show psychophysical evidence for the crossover between integration regimes predicted by the attractor model and for the relevance of this new regime. Our findings point to correcting transitions as an important yet overlooked feature of perceptual decision making.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 25, 2020.
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Flexible categorization in perceptual decision making
Genís Prat-Ortega, Klaus Wimmer, Alex Roxin, Jaime de la Rocha
bioRxiv 2020.05.23.110460; doi: https://doi.org/10.1101/2020.05.23.110460
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Flexible categorization in perceptual decision making
Genís Prat-Ortega, Klaus Wimmer, Alex Roxin, Jaime de la Rocha
bioRxiv 2020.05.23.110460; doi: https://doi.org/10.1101/2020.05.23.110460

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