Literature DB >> 11346795

An evolutionary scaling law for the primate visual system and its basis in cortical function.

C F Stevens1.   

Abstract

A hallmark of mammalian brain evolution is the disproportionate increase in neocortical size as compared with subcortical structures. Because primary visual cortex (V1) is the most thoroughly understood cortical region, the visual system provides an excellent model in which to investigate the evolutionary expansion of neocortex. I have compared the numbers of neurons in the visual thalamus (lateral geniculate nucleus; LGN) and area V1 across primate species. Here I find that the number of V1 neurons increases as the 3/2 power of the number of LGN neurons. As a consequence of this scaling law, the human, for example, uses four times as many V1 neurons per LGN neuron (356) to process visual information as does a tarsier (87). I argue that the 3/2 power relationship is a natural consequence of the organization of V1, together with the requirement that spatial resolution in V1 should parallel the maximum resolution provided by the LGN. The additional observation that thalamus/neocortex follows the same evolutionary scaling law as LGN/V1 may suggest that neocortex generally conforms to the same organizational principle as V1.

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Year:  2001        PMID: 11346795     DOI: 10.1038/35075572

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  44 in total

1.  Change of conduction velocity by regional myelination yields constant latency irrespective of distance between thalamus and cortex.

Authors:  Mahmoud Salami; Chiaki Itami; Tadaharu Tsumoto; Fumitaka Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-28       Impact factor: 11.205

2.  The scaling of frontal cortex in primates and carnivores.

Authors:  Eliot C Bush; John M Allman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-08       Impact factor: 11.205

3.  Dynamics and processing in finite self-similar networks.

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4.  Faster scaling of visual neurons in cortical areas relative to subcortical structures in non-human primate brains.

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Journal:  Brain Struct Funct       Date:  2012-06-09       Impact factor: 3.270

5.  A scaling law derived from optimal dendritic wiring.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-19       Impact factor: 11.205

6.  Neuron densities vary across and within cortical areas in primates.

Authors:  Christine E Collins; David C Airey; Nicole A Young; Duncan B Leitch; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-23       Impact factor: 11.205

7.  Isotropic fractionator: a simple, rapid method for the quantification of total cell and neuron numbers in the brain.

Authors:  Suzana Herculano-Houzel; Roberto Lent
Journal:  J Neurosci       Date:  2005-03-09       Impact factor: 6.167

8.  Peripheral variability and central constancy in mammalian visual system evolution.

Authors:  Peter M Kaskan; Edna Cristina S Franco; Elizabeth S Yamada; Luiz Carlos de Lima Silveira; Richard B Darlington; Barbara L Finlay
Journal:  Proc Biol Sci       Date:  2005-01-07       Impact factor: 5.349

9.  The influence of cortical feature maps on the encoding of the orientation of a short line.

Authors:  K N Shokhirev; T Kumar; D A Glaser
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

10.  Differential changes in the cellular composition of the developing marsupial brain.

Authors:  Adele M H Seelke; James C Dooley; Leah A Krubitzer
Journal:  J Comp Neurol       Date:  2013-08-01       Impact factor: 3.215

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