Literature DB >> 1307919

Isomorphism, task dependence, and the multiple meaning theory of neural coding.

G S Wasserman1.   

Abstract

The neural coding problem is defined and several possible answers to it are reviewed. A widely accepted answer descends from early suggestions that neural activity, in general, is isomorphic with sensation and that the biological signals resident in the axons of neurons, in particular, are given by their frequency of firing. More recent data are reviewed which indicate that the pattern of neural responses may also be informative. Such data led to the formulation of the multiple meaning theory which suggests the neural pattern may encode different information features in single responses. After a period in which attention turned elsewhere, the multiple meaning theory has quite recently been revived and has stimulated novel and careful experimental investigations. A corollary theory, the task dependence hypothesis, suggests that these information-bearing multiple response features are accessed differentially in different behavioral tasks. These theories place stringent temporal requirements on the generation and analysis of neural responses. Recent data are examined indicating that both requirements may indeed be satisfied by the nervous system. Finally, several methods of experimentally testing such coding theories are described; they involve manipulating the biological signals of neurons and observing the effect of these manipulations on behavior.

Mesh:

Year:  1992        PMID: 1307919     DOI: 10.1159/000109318

Source DB:  PubMed          Journal:  Biol Signals        ISSN: 1016-0922


  4 in total

1.  Temporal patterns of deep brain stimulation generated with a true random number generator and the logistic equation: effects on CNS arousal in mice.

Authors:  A W Quinkert; D W Pfaff
Journal:  Behav Brain Res       Date:  2012-01-21       Impact factor: 3.332

Review 2.  Quantitative descriptions of generalized arousal, an elementary function of the vertebrate brain.

Authors:  Amy Wells Quinkert; Vivek Vimal; Zachary M Weil; George N Reeke; Nicholas D Schiff; Jayanth R Banavar; Donald W Pfaff
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-09       Impact factor: 11.205

3.  Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures.

Authors:  Peter Cariani; Janet M Baker
Journal:  Front Comput Neurosci       Date:  2022-06-15       Impact factor: 3.387

4.  Temporally-patterned deep brain stimulation in a mouse model of multiple traumatic brain injury.

Authors:  Inna Tabansky; Amy Wells Quinkert; Nadera Rahman; Salomon Zev Muller; Jesper Lofgren; Johan Rudling; Alyssa Goodman; Yingping Wang; Donald W Pfaff
Journal:  Behav Brain Res       Date:  2014-07-27       Impact factor: 3.332

  4 in total

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