Literature DB >> 7326283

Evidence, information, and surprise.

G Palm.   

Abstract

A numerical measure for "evidence" is defined in a probabilistic framework. The established mathematical concept of information or entropy (as defined in ergodic theory) can be obtained from this definition in a special case, although in general information in a special case, although in general information is greater than evidence. In another, somewhat complementary, special case a numerical measure for "surprise" is derived from the definition of evidence. Some applications of the new concept of evidence are discussed, concerning statistics in general and the special kind of statistics performed by neurophysiologists, when they analyze the "response" of neurons, and perhaps by the neurons themselves.

Mesh:

Year:  1981        PMID: 7326283     DOI: 10.1007/bf00335160

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


  6 in total

1.  RANDOM WALK MODELS FOR THE SPIKE ACTIVITY OF A SINGLE NEURON.

Authors:  G L GERSTEIN; B MANDELBROT
Journal:  Biophys J       Date:  1964-01       Impact factor: 4.033

2.  Three principles of brain function and structure.

Authors:  C R Legéndy
Journal:  Int J Neurosci       Date:  1975       Impact factor: 2.292

3.  Simple memory: a theory for archicortex.

Authors:  D Marr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1971-07-01       Impact factor: 6.237

4.  A theory for cerebral neocortex.

Authors:  D Marr
Journal:  Proc R Soc Lond B Biol Sci       Date:  1970-11-03

5.  Learning and information theory.

Authors:  E Pfaffelhuber
Journal:  Int J Neurosci       Date:  1972-02       Impact factor: 2.292

6.  Mutual temporal relationships among neuronal spike trains. Statistical techniques for display and analysis.

Authors:  G L Gerstein; D H Perkel
Journal:  Biophys J       Date:  1972-05       Impact factor: 4.033

  6 in total
  10 in total

1.  Graded defragmentation of cortical neuronal firing during recovery of consciousness in rats.

Authors:  J A Vizuete; S Pillay; K M Ropella; A G Hudetz
Journal:  Neuroscience       Date:  2014-06-18       Impact factor: 3.590

2.  On the significance of correlations among neuronal spike trains.

Authors:  G Palm; A M Aertsen; G L Gerstein
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

3.  Information theoretic analysis of action potential trains. I. Analysis of correlation between two neurons.

Authors:  S Yamada; M Nakashima; K Matsumoto; S Shiono
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

4.  Detecting higher-order interactions among the spiking events in a group of neurons.

Authors:  L Martignon; H Von Hasseln; S Grün; A Aertsen; G Palm
Journal:  Biol Cybern       Date:  1995-06       Impact factor: 2.086

5.  Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks.

Authors:  Ifije E Ohiorhenuan; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2010-07-16       Impact factor: 1.621

6.  Abnormal Bursting as a Pathophysiological Mechanism in Parkinson's Disease.

Authors:  Cj Lobb
Journal:  Basal Ganglia       Date:  2014-04-01

7.  Neurosemantics, neurons and system theory.

Authors:  Olaf Breidbach
Journal:  Theory Biosci       Date:  2007-04-14       Impact factor: 1.315

8.  Methods for identification of spike patterns in massively parallel spike trains.

Authors:  Pietro Quaglio; Vahid Rostami; Emiliano Torre; Sonja Grün
Journal:  Biol Cybern       Date:  2018-04-12       Impact factor: 2.086

Review 9.  Entropy? Exercices de Style.

Authors:  Rocco Gaudenzi
Journal:  Entropy (Basel)       Date:  2019-07-29       Impact factor: 2.524

10.  Learning probabilistic neural representations with randomly connected circuits.

Authors:  Ori Maoz; Gašper Tkačik; Mohamad Saleh Esteki; Roozbeh Kiani; Elad Schneidman
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-18       Impact factor: 11.205

  10 in total

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