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ESANN
2008

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

9 years 2 months ago
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.
Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrel
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ESANN
Authors Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrell
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