Generating Coherent Patterns of Activity from Chaotic Neural Networks Export

@article{citeulike:5659669, 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 data. Our results reproduce data on premovement activity in motor and premotor cortex, and suggest that synaptic plasticity may be a more rapid and powerful modulator of network activity than generally appreciated.}, author = {Sussillo, David and Abbott, L. F.}, citeulike-article-id = {5659669}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.neuron.2009.07.018}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0896627309005479}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19709635}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19709635}, day = {27}, doi = {10.1016/j.neuron.2009.07.018}, issn = {08966273}, journal = {Neuron}, keywords = {model, sponta}, month = {August}, number = {4}, pages = {544--557}, posted-at = {2009-09-10 18:25:44}, priority = {2}, title = {Generating Coherent Patterns of Activity from Chaotic Neural Networks}, url = {http://dx.doi.org/10.1016/j.neuron.2009.07.018}, volume = {63}, year = {2009} }

TY - JOUR ID - citeulike:5659669 L3 - citeulike-article-id:5659669 N2 - 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 data. Our results reproduce data on premovement activity in motor and premotor cortex, and suggest that synaptic plasticity may be a more rapid and powerful modulator of network activity than generally appreciated. IS - 4 JF - Neuron SN - 08966273 EP - 557 TI - Generating Coherent Patterns of Activity from Chaotic Neural Networks VL - 63 SP - 544 KW - model KW - sponta AU - Sussillo, David AU - Abbott, LF PY - 2009/08/27/ UR - http://dx.doi.org/10.1016/j.neuron.2009.07.018 ER -