DocumentCode :
1092156
Title :
Expandable Networks for Neuromorphic Chips
Author :
Merolla, Paul A. ; Arthur, John V. ; Shi, Bertram E. ; Boahen, Kwabena A.
Volume :
54
Issue :
2
fYear :
2007
Firstpage :
301
Lastpage :
311
Abstract :
We have developed a grid network that broadcasts spikes (all-or-none events) in a multichip neuromorphic system by relaying them from chip to chip. The grid is expandable because, unlike a bus, its capacity does not decrease as more chips are added. The multiple relays do not increase latency because the grid´s cycle time is shorter than the bus. We describe an asynchronous relay implementation that automatically assigns chip addresses to indicate the source of spikes, encoded as word-serial address-events. This design, which is integrated on each chip, connects neurons at corresponding locations on each of the chips (pointwise connectivity) and supports oblivious, targeted, and excluded delivery of spikes. Results from two chips fabricated in 0.25-mum technology are presented, showing word-rates up to 45.4 M events/s
Keywords :
asynchronous circuits; mixed analogue-digital integrated circuits; neural chips; address-event representation; asynchronous communication; asynchronous relay; cortical circuits; expandable networks; grid network; mixed analog-digital integrated circuits; multichip neuromorphic system; neural chips; neuromorphic chips; neuromorphic engineering; pointwise connectivity; word-serial address-events; Analog circuits; Broadcasting; Clocks; Nerve fibers; Neuromorphics; Relays; Timing; Transceivers; Very large scale integration; Wires; Address-event representation (AER); asynchronous communication; cortical circuits; mixed analog–digital integrated circuits; multichip systems; neural chips; neuromorphic engineering;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-8328
Type :
jour
DOI :
10.1109/TCSI.2006.887474
Filename :
4089120
Link To Document :
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