Neural tuning and representational geometry

Volume: 22, Issue: 11, Pages: 703 - 718
Published: Sep 14, 2021
Abstract
A central goal of neuroscience is to understand the representations formed by brain activity patterns and their connection to behaviour. The classic approach is to investigate how individual neurons encode stimuli and how their tuning determines the fidelity of the neural representation. Tuning analyses often use the Fisher information to characterize the sensitivity of neural responses to small changes of the stimulus. In recent decades,...
Paper Details
Title
Neural tuning and representational geometry
Published Date
Sep 14, 2021
Volume
22
Issue
11
Pages
703 - 718
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