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
Make-A-Shape: a Ten-Million-scale 3D Shape ModelTrained on 10 million 3D shapes, our model exhibits the capability to…
2023
Outsight Network Resident Coral Maker is Racing to Save Coral ReefsLearn how Australian-based Coral Maker is using technology to restore…
2000
Large displays in automotive designThe ability to display and interact with large-scale representations…
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