We describe a simulation environment that can be used to design, construct, and run spiking neural networks (SNNs) quickly and efficiently using graphics processing units (GPUs). We then explain how the design of the simulation environment utilizes the parallel processing power of GPUs to simulate large-scale SNNs and describe recent modeling …
Topic: evolutionary algorithms
Research Projects
GPGPU accelerated simulation and parameter tuning for neuromorphic applications
Kristofor D. Carlson, Michael Beyeler, Nikil Dutt, Jeffrey L. Krichmar Proceedings of the 2014 Asia and South Pacific Design Automation Conference (ASP-DAC)