Optimal responsiveness and collective oscillations emerging from the heterogeneity of inhibitory neurons
Neurons and Cognition
2021-09-30 v1 Disordered Systems and Neural Networks
Abstract
The brain is characterized by a strong heterogeneity of inhibitory neurons. We report that spiking neural networks display a resonance to the heterogeneity of inhibitory neurons, with optimal input/output responsiveness occurring for levels of heterogeneity similar to that found experimentally in cerebral cortex. A heterogeneous mean-field model predicts such optimal responsiveness. Moreover, we show that new dynamical regimes emerge from heterogeneity that were not present in the equivalent homogeneous system, such as sparsely synchronous collective oscillations.
Keywords
Cite
@article{arxiv.2005.05596,
title = {Optimal responsiveness and collective oscillations emerging from the heterogeneity of inhibitory neurons},
author = {Matteo di Volo and Alain Destexhe},
journal= {arXiv preprint arXiv:2005.05596},
year = {2021}
}