Affiliation:
1. School of Electronics and Information Engineering Nanjing University of Information Science & Technology Nanjing China
2. School of Artificial Intelligence Nanjing University of Information Science & Technology Nanjing China
3. Collaborative Innovation Center of Memristive Computing Application (CICMCA) Qilu Institute of Technology Jinan China
Abstract
AbstractThe significance of neuronal discharge symmetry lies in its reflection of the stability and orderliness within the neuron's activity. This symmetry is correlated with various issues, including the biophysical properties within neurons, network structures, and synaptic transmission. Memristors are highly analogous to neuronal synapses due to their unique memory properties, allowing them to emulate biological neural synapses. In this work, a memristor is employed into the Hindmarsh‐Rose (HR) neuron as a synapse for the construction of a memristive HR neuron. Accompanied with the introducing of the absolute value and signum function, the derived neurons exhibit complex coexisting symmetric firing patterns. The phenomenon of symmetric firing can effectively simulate the depolarization and hyperpolarization processes of neurons, providing a new approach to study the diversity of the brain.
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Cited by
1 articles.
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