Abstract
Modeling and hardware implementation of artificial neurons is an important goal in the field of neuromorphic and brain-inspired computing. This paper presents a hardware implementation method of the two-dimensional piecewise linear spiking neuron (PLSN) model that can express various dynamical behaviors under different bifurcation mechanisms. The neuronal digital circuit of the PLSN model is designed and implemented on a field programmable gate array (FPGA), where all computation processes in the arithmetic tree are pipelined to maintain fast computing. The hardware is used to demonstrate 20 neurocomputational properties that are the most prominent dynamical behaviors of biological neurons. The 6 cortical neurons are also simulated using the PLSN circuit on FPGA. The results show that the proposed neuron circuit can express complex spiking and bursting behaviors of cortical neurons.
Published Version
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