Computational Neuroanatomy: Overview

Definition

Computational neuroanatomy is a subfield of neuroscience where computational means are used to describe and analyze neuroanatomy data from various sources, typically from microscopy instruments and neuroimaging. Description and analysis in computational neuroanatomy can span across a vast range of scales, from synapses, dendritic spines, dendrites, axons, neurons, local circuits, cortical maps, and up to the whole brain. Neuronal morphology, representation and quantification of morphological properties, connection topology, wiring principles, growth rules, and statistical analysis of various structural properties are common topics of investigation in computational neuroanatomy.

Detailed Description

Computational neuroanatomy deals with structural data at multiple scales obtained using multiple data-acquisition modalities. At the nanometer scale, electron microscopy is used to acquire ultrastructural information of synapses, axon terminals, and dendritic spines. Advances in...