Abstract
We demonstrate an interactive handwritten digit recognition system with a spike-based deep belief network running in real-time on SpiNNaker, a biologically inspired many-core architecture. Results show that during the simulation a SpiNNaker chip can deliver spikes in under 1 μs, with a classification latency in the order of tens of milliseconds, while consuming less than 0.3 W.
Original language | English |
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DOIs | |
Publication status | Published - 2015 |
Event | 2015 IEEE International Symposium on Circuits & Systems - Lisbon, portugal Duration: 24 May 2015 → 27 May 2015 http://www.iscas2015.org/ |
Conference
Conference | 2015 IEEE International Symposium on Circuits & Systems |
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City | Lisbon, portugal |
Period | 24/05/15 → 27/05/15 |
Internet address |