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.
2026
Can one Note Change your Heartbeat?Explore how variations in pitch can impact how your work and live…
2015
3D-Printed Prosthetics for the Developing WorldThe growing availability of 3D printing has made it possible for…
2006
ShowMotion: Camera Motion based 3D Design ReviewWe describe a new interactive system for 3D design review, built to…
1996
Ray Tracing in Non-Constant MediaIn this paper, we explore the theory of optical deformations due to…
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