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Type: Journal article
Title: Digital multiplierless realization of two-coupled biological Hindmarsh-Rose neuron model
Author: Mohsen Hayati, M.
Nouri, M.
Abbott, D.
Haghiri, S.
Citation: IEEE Transactions on Circuits and Systems II: Express Briefs, 2016; 63(5):463-467
Publisher: Institute of Electrical and Electronics Engineers
Issue Date: 2016
ISSN: 1549-7747
Statement of
Mohsen Hayati, Moslem Nouri, Derek Abbott, Saeed Haghiri
Abstract: The efficient modeling, simulation, and implementation of biological neural networks are key objectives of the neuromorphic research field, leading to potential applications, such as assisting the search for new solutions to cure brain diseases, improved performance of robots, and the fundamental study of neural network behavior. This brief proposes a modified biological Hindmarsh-Rose (HR) neuron model that is more suited for efficient implementation on digital platforms. Simulation results show that the model can reproduce the desired behaviors of the neuron. The proposed model is investigated, in terms of digital implementation feasibility and cost, targeting a low-cost hardware implementation. Hardware implementation on a field-programmable gate array shows that the modified model mimics the biological behavior of different types of neurons, with higher performance and considerably lower hardware overhead cost compared with the original HR model.
Keywords: Field-programmable gate array (FPGA); Hindmarsh-Rose (HR) neuron model; spiking neural network (SNN)
Rights: © 2015 IEEE.
RMID: 0030049042
DOI: 10.1109/TCSII.2015.2505258
Appears in Collections:Electrical and Electronic Engineering publications

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