From memory to processing : a reaction-diffusion approach to neuromorphic computing

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Matthew Carnaghi (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site:
Joseph Starobin

Abstract: The goal of this research is to bridge the gap between the physiological brain and mathematically based neuromorphic computing models. As such, the reaction-diffusion method was chosen as it can naturally exhibit properties like propagation of excitation that are seen in the brain, but not current neuromorphic computing models. A reaction-diffusion memory unit was created to demonstrate the key memory functions of sensitization, habituation, and dishabituation, while a reaction-diffusion brain module was established to perform the specific processing task of single-digit binary addition. The results from both approaches were consistent with existing literature detailing physiological memory and processing in the human brain.

Additional Information

Language: English
Date: 2021
Computing, Modelling, Neuromorphic, Neuron, Reaction-diffusion
Neural networks (Computer science)
Brain $x Mathematical models
Reaction-diffusion equations

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