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DTSTART:20190310T070000
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UID:69b437c54e0ab
DTSTART;TZID=America/Toronto:20190425T130000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190425T130000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-defence-d
 ynamical-systems-spiking-neuromorphic-hardware
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Defence: Dynamical Systems in Spiking Neuromorphic Hardware
CLASS:PUBLIC
DESCRIPTION:AARON VOELKER\, PHD CANDIDATE\n_David R. Cheriton School of Com
 puter Science_\n\nDynamical systems are universal computers. They can perc
 eive stimuli\,\nremember\, learn from feedback\, plan sequences of actions
 \, and\ncoordinate complex behavioural responses. The Neural Engineering\n
 Framework (NEF) provides a general recipe to formulate models of such\nsys
 tems as coupled sets of nonlinear differential equations and\ncompile them
  onto recurrently connected spiking neural networks —\nakin to a program
 ming language for spiking models of computation. The\nNengo software ecosy
 stem supports the NEF and compiles such models\nonto neuromorphic hardware
 . 
DTSTAMP:20260313T161357Z
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