Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing.

ABSTRACT:

Introduction

Efficient coding that minimizes informational redundancy of neural representations is a widely accepted neural coding principle. Despite the benefit, maximizing efficiency in neural coding can make neural representation vulnerable to random noise. One way to achieve robustness against random noise is smoothening neural responses. However, it is not clear whether the smoothness of neural responses can hold robust neural representations when dynamic stimuli are processed through a hierarchical brain structure, in which not only random noise but also systematic error due to temporal lag can be induced.

Methods

In the present study, we showed that smoothness via spatio-temporally efficient coding can achieve both efficiency and robustness by effectively dealing with

SUBMITTER: Sihn D 

PROVIDER: S-EPMC10307978 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature