Harnessing chaos in recurrent neural networks.
In this issue of Neuron, Sussillo and Abbott describe a new learning rule that helps harness the computational power of recurrent neural networks.
Buonomano
Dean V
DV
Department of Neurobiology, University of California, Los Angeles, Los Angeles, CA 90095, USA. dbuono@ucla.edu
D000818:Animals; D006801:Humans; D007858:Learning / Q000502:physiology; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D013997:Time Factors