The Dynamics of a Continuous-time Artificial Hopfield Neural Network after a Rosehip Neuron Inhibits a Pyramidal Neuron, using a Sigmoid Input-output Function
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Abstract
Using a system of a two-dimensional Hopfield continuous-time artificial network with self-connection and without constant external electrical input, in this paper the computed voltage dynamics are presented after the inhibition of a pyramidal neuron by a rosehip neuron. Because the rest state of the pyramidal neuron is not conserved after the inhibition, a way to find the transfer matrix elements that can be used after the inhibition is given, which ensures that the pyramidal neuron rest state is conserved after the inhibition.
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Copyright (c) 2026 Cojocaru AV, et al.
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