An Efficient and Reconfigurable Synchronous Neuron Model

作者：Soleimani Hamid^*; Drakakis E M

来源：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2018, 65(1): 91-95.

DOI：10.1109/TCSII.2017.2697826

• Large scale simulation
• spiking neural network
• field programable gate array (FPGA)
• synchronous cellular neuron model

This brief presents a reconfigurable and efficient 2-D neuron model capable of extending to higher dimensions. The model is applied to the Izhikevich and FitzHugh-Nagumo neuron models as 2-D case studies and to the Hindmarsh-Rose model as a 3-D case study. Hardware synthesis and physical implementations show that the resulting circuits can reproduce neural dynamics with acceptable precision and considerably low hardware overhead compared to previously published piecewise linear models.

• 出版日期2018-1