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Izhikevich spiking neuron model

An approximate multiplier based hardware implementation of the izhikevich model

1 min read · Thu, Apr 26 2018

News

Circuits Izhikevich spiking neuron model

Hassan, Salma, et al., "An approximate multiplier based hardware implementation of the izhikevich model." IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2018, 492. This paper proposes the use of approximate multipliers in the hardware implementation of Izhikevich spiking neuron model. The accuracy of the model is investigated by calculating various types of errors on a single neuron and this analysis shows that the proposed model follows the original model. It shows that the proposed model reproduces the same firing patterns as the original one. The network

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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