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Resumo(s)
"This thesis explores the intricacies of perceptual decision-making through the
lens of two distinct mechanistic and normative approaches.
In the first part, we investigated the mechanistic basis ofWeber’s law, the most
firmly established regularity in sensation, utilizing a novel paradigm where rats
were trained to discriminate sound intensities at varying relative and absolute
levels. This led to the discovery of a new psychophysical regularity, that we
termed Time-Intensity Equivalence in Discrimination (TIED), which accounts
not only for the invariance in accuracy that Weber’s law refers to, but also for a
tight invariance in the reaction time distributions for different absolute stimulus
intensities. This regularity imposes strict constraints on the computational
mechanisms that could be compatible with it, and allowed us to distil four very
simple necessary principles for the TIED to hold, relating to the firing properties
of the sensory neurons representing the evidence, and requiring exact bounded
accumulation of such evidence. We also further verified that these conditions
are not only necessary, but also sufficient to provide a very exact quantitative
description of the experimental data.(...)"
Descrição
Palavras-chave
perceptual decision making evidence accumulation normative models sequencial sampling optimal control
