Biologically Inspired Computation
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Table of Contents
Biologically Inspired Computation
Digital silicon: The past
Digital silicon: The future
Computationally intractable problems remain
Nature’s clue...
Tenets of digital computation
Neurobiology breaks all the rules
Tenets of neuronal computation
Analog versus digital
Consider energy consumption
Biology’s way
We don't know how...
What do we know from biology?
Reinventing analog
Floating-gate MOS “synapse transistors”
Oxide currents for adaptation
Adapting the synaptic weight
Local adaptation in synaptic arrays
Silicon can adapt like biology
Adaptive analog is power efficient
Adaptive analog learns
Adaptive analog enables complex functions
Opportunities and directions
Adaptive analog computation
Author:
Chris Diorio
Email:
diorio@cs.washington.edu
Home Page:
http://www.cs.washington.edu/people/faculty/diorio