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
Neuromorphic Engineering
Publications
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)
Exploring olfactory sensory networks: Simulations and hardware emulation Best Student Paper Nominee
Olfactory stimuli are represented in a high-dimensional space by neural networks of the olfactory system. While a number of studies have illustrated the importance of inhibitory networks within the olfactory bulb or the antennal lobe for the shaping and processing of olfactory information, it is not clear how exactly these inhibitory networks are …
Michael Beyeler Fabio Stefanini Henning Proske Giovanni Galizia Elisabetta Chicca
Proceedings of the 2010 IEEE Biomedical Circuits and Systems Conference (BioCAS)
