UW CSE Technical Report 03-06-02 (2003)
Aaron P. Shon, Chris L. Baker, David B. Grimes, Rajesh P. N. Rao
Learning statistical models of nonlinear dynamical systems has long been an important problem in machine learning. The problem becomes especially hard when the dynamical system is composed of a...
Learning Temporal Patterns by Redistribution of Synaptic Efficacy (2002)
Aaron P. Shon, Rajesh P. N. Rao
Recent experiments have shown that neocortical synapses exhibit both short-term plasticity and spike-timing dependent long-term plasticity. It has been suggested that changes in short-term plasticity...
Temporal Sequence Learning With Dynamic Synapses (2002)
Aaron P. Shon, Rajesh P. N. Rao
Recent results indicate that neocortical synapses exhibit both short-term plasticity and long-term spike-timing dependent plasticity. It has been suggested that changes in short-term plasticity are...
Learning Spike-Based Correlations and Conditional Probabilities in Silicon (2002)
Aaron P. Shon, David Hsu, Chris Diorio
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, compact, provides...