Generating coherent patterns of activity from chaotic neural networks.

ABSTRACT: Neural circuits display complex activity patterns both spontaneously and when responding to a stimulus or generating a motor output. How are these two forms of activity related? We develop a procedure called FORCE learning for modifying synaptic strengths either external to or within a model neural network to change chaotic spontaneous activity into a wide variety of desired activity patterns. FORCE learning works even though the networks we train are spontaneously chaotic and we leave feedback loops intact and unclamped during learning. Using this approach, we construct networks that produce a wide variety of complex output patterns, input-output transformations that require memory, multiple outputs that can be switched by control inputs, and motor patterns matching human motion capture d

SUBMITTER: Sussillo D 

PROVIDER: S-EPMC2756108 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature