English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Brain size and number of neurons: An exercise in synthetic neuroanatomy.

Braitenberg, V. (2001). Brain size and number of neurons: An exercise in synthetic neuroanatomy. Journal of Computational Neuroscience, 10(1), 71-77. doi:10.1023/A:1008920127052.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E300-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E301-7
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Braitenberg, V1, Author              
Affiliations:
1Former Department Structure and Function of Natural Nerve-Net, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497803              

Content

show
hide
Free keywords: -
 Abstract: Certain remarkable invariances have long been known in comparative neuroanatomy, such as the proportionality between neuronal density and the inverse of the cubic root of brain volume or that between the square root of brain weight and the cubic root of body weight. Very likely these quantitative relations reflect some general principles of the architecture of neuronal networks. Under the assumption that most of brain volume is due to fibers, we propose four abstract models: I, constant fiber length per neuron; II, fiber length proportionate to brain diameter; III, complete set of connections between all neurons; IV, complete set of connections between compartments each containing the square root of the total number of neurons. Model I conforms well to the cerebellar cortex. Model II yields the observed comparative invariances between number of neurons and brain size. Model III is totally unrealistic, while Model IV is compatible with the volume of the hemispheric white substance in different mammalian species.

Details

show
hide
Language(s):
 Dates: 2001-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Computational Neuroscience
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 10 (1) Sequence Number: - Start / End Page: 71 - 77 Identifier: -