An FPGA-based model suitable for evolution and development of spiking neural networks

We propose a digital neuron model suitable for evolving and growing heterogeneous spiking neural networks on FPGAs using a piecewise linear approximation of the Quadratic Integrate and Fire (QIF) model. A network of 161 neurons and 1610 synapses with 4210 times realtime neuron simulation speed was simulated and synthesized for a Virtex-5 chip.

• Type: Conference
• Year: 2008
• Where: ESANN
• Authors: Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrell
• Keywords: Digital Neuron Model, ESANN 2008, Neural Networks, Neuron, Spiking Neural Networks