Literature DB >> 6871281

A continuous information theoretic approach to the analysis of cutaneous receptor neurons.

M S Fuller, W J Williams.   

Abstract

Information theoretic and statistical techniques for determining the number of discernible levels in cutaneous receptor neurons are reviewed. Reasons for the large variance in these results are discussed. A new continuous information theoretic analysis technique is presented that overcomes many of the problems in the other methods of analysis discussed. Comparison of this new method of analysis with a statistical technique developed by Schreiner et al. (1978) clearly shows some of the misconceptions that are associated with statistical analysis techniques, and why these problems cannot arise in the new information theoretic technique discussed here.

Mesh:

Year:  1983        PMID: 6871281     DOI: 10.1007/bf00340064

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  7 in total

1.  NEURAL ACTIVITY IN MECHANORECEPTIVE CUTANEOUS AFFERENTS: STIMULUS-RESPONSE RELATIONS, WEBER FUNCTIONS, AND INFORMATION TRANSMISSION.

Authors:  G WERNER; V B MOUNTCASTLE
Journal:  J Neurophysiol       Date:  1965-03       Impact factor: 2.714

2.  The magical number seven plus or minus two: some limits on our capacity for processing information.

Authors:  G A MILLER
Journal:  Psychol Rev       Date:  1956-03       Impact factor: 8.934

3.  The informational capacity of the human ear.

Authors:  H JACOBSON
Journal:  Science       Date:  1950-08-04       Impact factor: 47.728

4.  The information capacity of nerve cells using a frequency code.

Authors:  R B Stein
Journal:  Biophys J       Date:  2008-12-31       Impact factor: 4.033

5.  Information transmission in slowly adapting mechanoreceptor fibers.

Authors:  B Kenton; L Kruger
Journal:  Exp Neurol       Date:  1971-04       Impact factor: 5.330

6.  Variability in somatosensory cortical neuron discharge: effects on capacity to signal different stimulus conditions using a mean rate code.

Authors:  R C Schreiner; G K Essick; B L Whitsel
Journal:  J Neurophysiol       Date:  1978-03       Impact factor: 2.714

7.  On the transmission of information through sensory neurons.

Authors:  L Walloe
Journal:  Biophys J       Date:  1970-08       Impact factor: 4.033

  7 in total
  2 in total

1.  Information theory in neuroscience.

Authors:  Alexander G Dimitrov; Aurel A Lazar; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2011-02       Impact factor: 1.621

Review 2.  Information transmission by isolated frog muscle spindle.

Authors:  R Eckhorn; H Querfurth
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

  2 in total

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