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Hebbian Wiring Plasticity Generates Efficient Network Structures for Robust Inference with Synaptic Weight Plasticity

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Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity Abstract

Coherent Infomax as a Computational Goal for Neural Systems

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From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation Preprint accepted for publication in Neural Networks (2012) doi: 10.1016/j.neunet.2012.06.005

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Cerebellum-Like Structures and Their Implications for Cerebellar Function

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Gene Coexpression as Hebbian Learning in Prokaryotic Genomes

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Self-organized reactivation maintains and reinforces memories despite synaptic turnover.

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