Targeting operational regimes of interest in recurrent neural networks.

ABSTRACT: Neural computations emerge from local recurrent neural circuits or computational units such as cortical columns that comprise hundreds to a few thousand neurons. Continuous progress in connectomics, electrophysiology, and calcium imaging require tractable spiking network models that can consistently incorporate new information about the network structure and reproduce the recorded neural activity features. However, for spiking networks, it is challenging to predict which connectivity configurations and neural properties can generate fundamental operational states and specific experimentally reported nonlinear cortical computations. Theoretical descriptions for the computational state of cortical spiking circuits are diverse, including the balanced state where excitatory and inhibitory inpu

SUBMITTER: Ekelmans P 

PROVIDER: S-EPMC10212141 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature