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.
2021
Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product TeardownsThis research studies knowledge transfer during product teardowns,…
2019
Toward a Multi-Level and Multi-Paradigm Platform for Building Occupant SimulationIn recent years, simulation has been used to investigate the mutual…
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