Publication
An FPGA-based model suitable for evolution and development of spiking neural networks
AbstractWe 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.
Download publicationAssociated Researchers
Related Resources
See what’s new.
2023
Advancing Construction Processes with Industry CollaborationLearn how Autodesk Research and Howick are collaborating to push the…
2023
Igniting Imagination and Inspiring the Next Generation in STEMResearch Manager Brandon Cramer discusses how Autodesk Research…
1993
Turbulent Wind Fields for Gaseous PhenomenaThe realistic depiction of smoke, steam, mist and water reacting to a…
2011
Results Of The Enumeration Of Costas Arrays Of Order 29The results of the enumeration of Costas arrays of order 29 are…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us