Article
A Digital Neuromorphic Realization of the 2-D Wilson Neuron Model
Author/s | Nouri, Moslem
Hayati, Mohsen Serrano Gotarredona, María Teresa Abbott, Derek |
Department | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Publication Date | 2019 |
Deposit Date | 2020-09-29 |
Published in |
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Abstract | This brief presents a piecewise linear approximation
of the nonlinear Wilson (NW) neuron model for the realization
of an efficient digital circuit implementation. The accuracy
of the proposed piecewise Wilson (PW) model ... This brief presents a piecewise linear approximation of the nonlinear Wilson (NW) neuron model for the realization of an efficient digital circuit implementation. The accuracy of the proposed piecewise Wilson (PW) model is examined by calculating time domain signal shaping errors. Furthermore, bifurcation analyses demonstrate that the approximation follows the same bifurcation pattern as the NW model. As a proof of concept, both models are hardware synthesized and implemented on field programmable gate arrays, demonstrating that the PW model has a range of neuronal behaviors similar to the NW model with considerably higher computational performance and a lower hardware overhead. This approach can be used in hardware-based large scale biological neural network simulations and behavioral studies. The mean normalized root mean square error and maximum absolute error of the PW model are 6.32% and 0.31%, respectively, as compared to the NW model. |
Citation | Nouri, M., Hayati, M., Serrano Gotarredona, M.T. y Abbott, D. (2019). A Digital Neuromorphic Realization of the 2-D Wilson Neuron Model. IEEE Transactions on Circuits and Systems II: Express Briefs, 66 (1), 136-140. |
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