Modeling cortical circuits.

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The neocortex is perhaps the highest region of the human brain, where audio and visual perception takes place along with many important cognitive functions. An important research goal is to describe the mechanisms implemented by the neocortex. There is an apparent regularity in the structure of the neocortex [Brodmann 1909, Mountcastle 1957] which may help simplify this task. The work reported here addresses the problem of how to describe the putative repeated units ('cortical circuits') in a manner that is easily understood and manipulated, with the long-term goal of developing a mathematical and algorithmic description of their function. The approach ... continued below

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66 p.

Creation Information

Rohrer, Brandon Robinson; Rothganger, Fredrick H.; Verzi, Stephen J. & Xavier, Patrick Gordon September 1, 2010.

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Description

The neocortex is perhaps the highest region of the human brain, where audio and visual perception takes place along with many important cognitive functions. An important research goal is to describe the mechanisms implemented by the neocortex. There is an apparent regularity in the structure of the neocortex [Brodmann 1909, Mountcastle 1957] which may help simplify this task. The work reported here addresses the problem of how to describe the putative repeated units ('cortical circuits') in a manner that is easily understood and manipulated, with the long-term goal of developing a mathematical and algorithmic description of their function. The approach is to reduce each algorithm to an enhanced perceptron-like structure and describe its computation using difference equations. We organize this algorithmic processing into larger structures based on physiological observations, and implement key modeling concepts in software which runs on parallel computing hardware.

Physical Description

66 p.

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  • Report No.: SAND2010-6389
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/1008124 | External Link
  • Office of Scientific & Technical Information Report Number: 1008124
  • Archival Resource Key: ark:/67531/metadc833443

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  • September 1, 2010

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Nov. 29, 2016, 8:20 p.m.

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Rohrer, Brandon Robinson; Rothganger, Fredrick H.; Verzi, Stephen J. & Xavier, Patrick Gordon. Modeling cortical circuits., report, September 1, 2010; United States. (digital.library.unt.edu/ark:/67531/metadc833443/: accessed August 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.