Learning Spike-Based Population Codes by Reward and Population Feedback
2010 ◽
Vol 22
(7)
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pp. 1698-1717
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Keyword(s):
We investigate a recently proposed model for decision learning in a population of spiking neurons where synaptic plasticity is modulated by a population signal in addition to reward feedback. For the basic model, binary population decision making based on spike/no-spike coding, a detailed computational analysis is given about how learning performance depends on population size and task complexity. Next, we extend the basic model to [Formula: see text]-ary decision making and show that it can also be used in conjunction with other population codes such as rate or even latency coding.
2002 ◽
Vol 15
(4)
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pp. 565-593
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Keyword(s):
Keyword(s):
2021 ◽
2015 ◽
Vol 67
(9)
◽
pp. 2090-2104
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1990 ◽
Vol 21
(1)
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pp. 69-90
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Keyword(s):
1993 ◽
Vol 36
(11)
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pp. 1473-1482
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Keyword(s):