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)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
- Advisor
- 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.
From memory to processing : a reaction-diffusion approach to neuromorphic computing
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Created on 12/1/2021
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Additional Information
- Publication
- Dissertation
- Language: English
- Date: 2021
- Keywords
- Computing, Modelling, Neuromorphic, Neuron, Reaction-diffusion
- Subjects
- Neural networks (Computer science)
- Brain $x Mathematical models
- Reaction-diffusion equations