A biologically plausible learning rule for the Infomax on recurrent neural networks

• Published in: Frontiers in computational neuroscience Vol. 8; p. 143
• Main Authors: Hayakawa, Takashi, Kaneko, Takeshi, Aoyagi, Toshio
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 25.11.2014; Frontiers Media S.A
• Subjects: Avalanches; Circuits; Firing pattern; information maximization; Learning; Nervous system; Neural networks; neuronal avalanches; Neurons; Neuroplasticity; Neuroscience; Orientation behavior; orientation selectivity; precise firing sequences; recurrent neural network; Science; spike-timing-dependent plasticity; Visual cortex; Visual pathways; Japan; information maximization; recurrent neural network; biologically plausible learning rule; precise firing sequence; spike-timing-dependent plasticity; neuronal avalanche; orientation selectivity

A fundamental issue in neuroscience is to understand how neuronal circuits in the cerebral cortex play their functional roles through their characteristic firing activity. Several characteristics of spontaneous and sensory-evoked cortical activity have been reproduced by Infomax learning of neural n...