Neuronal Networks

Sevush, Stephen

doi:10.1007/978-3-319-33708-1_8

Stephen Sevush²

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Abstract

The discussion is brought to the microscopic domain, beginning with the point neuron model, which ignores the spatial extent of the dendritic tree. Populations of point neurons are hypothesized to transmit information as mean rates of action potential (spike) transmission. Hebb’s postulate, by which memory is encoded in neuronal networks, is reviewed. The idea of neuronal representations is developed and applied to the directed modular processing that transpires along the ventral visual stream, as well as that which proceeds through the different layers of the neocortex. The evidence for an elaborate spatial organization of neuronal representations in the cortex is presented, with cortical neurons distributed in clusters and arranged topographically with respect to their receptive fields, driven by evolutionary pressure to maximize cortical processing efficiency.

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School of Medicine, University of Miami, Miami, Florida, USA
Stephen Sevush

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Sevush, S. (2016). Neuronal Networks. In: The Single-Neuron Theory. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-33708-1_8

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DOI: https://doi.org/10.1007/978-3-319-33708-1_8
Published: 13 August 2016
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-319-33707-4
Online ISBN: 978-3-319-33708-1
eBook Packages: Behavioral Science and PsychologyBehavioral Science and Psychology (R0)

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