An Introductory Course in Computational Neuroscience (Computational Neuroscience Series) by Paul Miller

Author:Paul Miller [Miller, Paul]
Language: eng
Format: azw3, epub
Tags: voltage clamp, action potential, neural modeling, neuron, neural circuit, neural systems, Computation, spike, brain circuit, ion channel, connectome, MATLAB
Publisher: The MIT Press
Published: 2018-09-13T16:00:00+00:00

5.5 The Connectivity Matrix

A remarkable property of neurons that distinguishes them from other cells is their physical structure. Dendrites and axons of a neuron can extend far from the cell body, ramify to generate hundreds of branches with thousands of possible connection points, and target specific regions and subregions or layers of the brain, producing contacts with a highly selective subset of other cells. In most models of neural circuits—including those produced in this course—all of the spatial intricacy and important cell biology needed to produce such extensive architectures is subsumed into a connectivity matrix, which simply tells us whether any two neurons are connected and ignores their actual position within the physical space of the brain.

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