FPGA Based Platform for Spiking Neural Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Neuromorphic engineers are studying the nervous system and trying to emulate its function and organization in their computational and robotics systems. They are hoping to match the human brain in vision, hearing, pattern recognition and learning tasks. Our goal is to create Field Programmable Gate Array (FPGA) platforms of large scale spiking neural networks to allow the testing of certain hypotheses related to neuroscience theories. Virtualization is also very important concept and performance/price of spiking neural network. We implement general purpose spiking neural network platform using FPGA and observe performance and performance/price tradeoffs.
Authors and Affiliations
Devanshi Raval, Leuva Bhumika
Keywords
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- EP ID EP23271
- DOI http://doi.org/10.22214/ijraset.2017.3076
- Views 249
- Downloads 9
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