Abstract
We present an implementation of the Izhikevich neuron model which uses two first-order log-domain low-pass filters and two translinear multipliers. The neuron consists of a leaky-integrate-and-fire core, a slow adaptive state variable and quadratic positive feedback. Simulation results show that this neuron can emulate different spiking behaviours observed in biological neurons. ©2010 IEEE.
Cite
CITATION STYLE
Van Schaik, A., Jin, C., McEwan, A., & Hamilton, T. J. (2010). A log-domain implementation of the Izhikevich neuron model. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems (pp. 4253–4256). https://doi.org/10.1109/ISCAS.2010.5537564
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