Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network
The brain needs to predict how the body reacts to motor commands, but how a network of spiking neurons can learn non-linear body dynamics using local, online and stable learning rules is unclear. Here, we present a supervised learning scheme for the feedforward and recurrent connections in a network...
Main Authors: | Aditya Gilra, Wulfram Gerstner |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2017-11-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/28295 |
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