Publication: Real-time inference in a VLSI spiking neural network
Real-time inference in a VLSI spiking neural network
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Corneil, D., Sonnleithner, D., Neftci, E. O., Chicca, E., Cook, M., Indiveri, G., & Douglas, R. (2012). Real-time inference in a VLSI spiking neural network. Proceedings of the IEEE International Symposium on Circuits and Systems, 2425–2428. https://doi.org/10.1109/ISCAS.2012.6271788
Abstract
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The ongoing motor output of the brain depends on its remarkable ability to rapidly transform and fuse a variety of sensory streams in real-time. The brain processes these data using networks of neurons that communicate by asynchronous spikes, a technology that is dramatically different from conventional electronic systems. We report here a step towards constructing electronic systems with analogous performance to the brain. Our VLSI spiking neural network combines in real-time three distinct sources of input data; each is place-encode
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- Corneil, Dane
- Sonnleithner, Daniel
- Neftci, Emre O
- Chicca, Elisabetta
- Cook, Matthew
- Douglas, Rodney
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Citations
Corneil, D., Sonnleithner, D., Neftci, E. O., Chicca, E., Cook, M., Indiveri, G., & Douglas, R. (2012). Real-time inference in a VLSI spiking neural network. Proceedings of the IEEE International Symposium on Circuits and Systems, 2425–2428. https://doi.org/10.1109/ISCAS.2012.6271788
