Analysis of Structure and Dynamics in Three-Neuron Motifs
Abstract
Recurrent neural networks can produce ongoing state-to-state transitions without any driving inputs, and the dynamical properties of these transitions are determined by the neuronal connection strengths. Due to non-linearity, it is not clear how strongly the system dynamics is affected by discrete local changes in the connection structure, such as the removal, addition, or sign-switching of individual connections. Moreover, there are no suitable...
Paper Details
Title
Analysis of Structure and Dynamics in Three-Neuron Motifs
Published Date
Feb 7, 2019
Volume
13
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