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.
2024
Autodesk’s Droid Maker Contest: Unleashing the Force of CreativitySee how Autodesk Research will build new droids designed using…
2011
Biologically Meaningful Keywords for Functional Terms of the Functional BasisBiology is recognized as an excellent source of analogies and stimuli…
1996
Graspable User InterfacesThis dissertation defines and explores Graspable User Interfaces, an…
2011
Design and Evaluation of a Command Recommendation System for Software ApplicationsWe examine the use of modern recommender system technology to aid…
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