Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction.

Clicks: 336
ID: 45154
2019
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Abstract
In computational neural network models, neurons are usually allowed to excite some and inhibit other neurons, depending on the weight of their synaptic connections. The traditional way to transform such networks into networks that obey Daleâs law (i.e., a neuron can either excite or inhibit) is to accompany each excitatory neuron with an inhibitory one through which inhibitory signals are mediated. However, this requires an equal number of excitatory and inhibitory neurons, whereas a realistic number of inhibitory neurons is much smaller. In this letter, we propose a model of nonlinear interaction of inhibitory synapses on dendritic compartments of excitatory neurons that allows the excitatory neurons to mediate inhibitory signals through a subset of the inhibitory population. With this construction, the number of required inhibitory neurons can be reduced tremendously.
Reference Key
weissenberger2019mutualneural Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Weissenberger, Felix;Gauy, Marcelo Matheus;Zou, Xun;Steger, Angelika;
Journal neural computation
Year 2019
DOI
10.1162/neco_a_01230
URL
Keywords
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