Optimal responsiveness and collective oscillations emerging from the heterogeneity of inhibitory neurons
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.
- Publication:
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arXiv e-prints
- Pub Date:
- May 2020
- DOI:
- 10.48550/arXiv.2005.05596
- arXiv:
- arXiv:2005.05596
- Bibcode:
- 2020arXiv200505596D
- Keywords:
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- Quantitative Biology - Neurons and Cognition;
- Condensed Matter - Disordered Systems and Neural Networks
- E-Print:
- Scientific reports 2021