Fractional neural sampling as a theory of spatiotemporal probabilistic computations in neural circuits.

ABSTRACT: A range of perceptual and cognitive processes have been characterized from the perspective of probabilistic representations and inference. To understand the neural circuit mechanism underlying these probabilistic computations, we develop a theory based on complex spatiotemporal dynamics of neural population activity. We first implement and explore this theory in a biophysically realistic, spiking neural circuit. Population activity patterns emerging from the circuit capture realistic variability or fluctuations of neural dynamics both in time and in space. These activity patterns implement a type of probabilistic computations that we name fractional neural sampling (FNS). We further develop a mathematical model to reveal the algorithmic nature of FNS and its computational advantages for re

SUBMITTER: Qi Y 

PROVIDER: S-EPMC9356069 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature