Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis

Abstract

Through various means of structural and synaptic plasticity enabling online learning, neural networks are constantly reconfiguring their computational functionality. Neural information content is embodied within the configurations, representations, and computations of neural networks. To explore neural information content, we have developed metrics and… (More)
DOI: 10.1109/IJCNN.2016.7727884

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Cite this paper

@article{Vineyard2016QuantifyingNI, title={Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis}, author={Craig M. Vineyard and Stephen J. Verzi and Conrad D. James and James B. Aimone}, journal={2016 International Joint Conference on Neural Networks (IJCNN)}, year={2016}, pages={5181-5188} }