APPARATUS AND METHODS FOR REINFORCEMENT LEARNING IN LARGE POPULATIONS OF ARTIFICIAL SPIKING NEURONS
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United States of America Patent
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Issued Date -
Jan 23, 2014
app pub date -
Jul 20, 2012
filing date -
Jul 20, 2012
priority date (Note) -
Abandoned
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Abstract
Neural network apparatus and methods for implementing reinforcement learning. In one implementation, the neural network is a spiking neural network, and the apparatus and methods may be used for example to enable an adaptive signal processing system to effect network adaptation by optimized credit assignment. In certain implementations, the credit assignment may be based on a comparison between network output and individual unit contribution. The unit contribution may be determined for example using eligibility traces that may comprise pre-synaptic and/or post-synaptic activity. In certain implementations, the unit credit may be determined using correlation between rate of change of network output and eligibility trace of the unit.
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