Authors
Andrew S Cassidy, Paul Merolla, John V Arthur, Steve K Esser, Bryan Jackson, Rodrigo Alvarez-Icaza, Pallab Datta, Jun Sawada, Theodore M Wong, Vitaly Feldman, Arnon Amir, Daniel Ben-Dayan Rubin, Filipp Akopyan, Emmett McQuinn, William P Risk, Dharmendra S Modha
Publication date
2013/8/4
Conference
The 2013 international joint conference on neural networks (IJCNN)
Pages
1-10
Publisher
IEEE
Description
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards the TrueNorth cognitive computing system inspired by the brain's function and efficiency. Judiciously balancing the dual objectives of functional capability and implementation/operational cost, we develop a simple, digital, reconfigurable, versatile spiking neuron model that supports one-to-one equivalence between hardware and simulation and is implementable using only 1272 ASIC gates. Starting with the classic leaky integrate-and-fire neuron, we add: (a) configurable and reproducible stochasticity to the input, the state, and the output; (b) four leak modes that bias the internal state dynamics; (c) deterministic and stochastic thresholds; and (d) six reset modes for rich finite-state behavior. The model supports a wide variety of computational functions and neural codes. We capture 50+ neuron behaviors in a library for …
Total citations
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Scholar articles
AS Cassidy, P Merolla, JV Arthur, SK Esser, B Jackson… - The 2013 international joint conference on neural …, 2013