Computational Neuroanatomy: Principles and Methods
Giorgio A. Ascoli
Springer Science & Business Media, Jul 1, 2002 - Medical - 469 pages
In Computational Neuroanatomy: Principles and Methods, the path-breaking investigators who founded the field review the principles and key techniques available to begin the creation of anatomically accurate and complete models of the brain. Combining the vast, data-rich field of anatomy with the computational power of novel hardware, software, and computer graphics, these pioneering investigators lead the reader from the subcellular details of dendritic branching and firing to system-level assemblies and models.
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action potentials activity afferent algorithm analysis anatomical approach arbors Ascoli axons basal behavior Biol brain branch points CD-ROM cerebral cortex cholinergic cluster columns Comp Neurol compartment compartmentalization complex components Computational Neuroanatomy connectivity correlation cortical areas cytoarchitectonic cytoarchitectonic areas dendritic morphology dendritic tree density diameter diffusion distance distribution dynamics electrophysiological example experimental fiber Figure function graph growth cones hippocampal imaging implemented innervation input interactions interneurons L-Neuron layer length measured methods Modeler's Workspace morphology motoneurons nervous system neural neurite neuroanatomy neuron number Neurosci neurotrophin nuclei numbers of neurons ocular dominance ocular dominance columns optimization organization orientation parameters patterns potential projections Purkinje cells pyramidal cells quantitative reconstruction regions representation represented sections segments sensory neurons simulation soma spatial specific stimulus structure synaptic target techniques template terminal tion tubulin values vector visual cortex voxel white matter