Literature DB >> 974795

Single cell activity in chronic unit recording: a quantitative study of the unit amplitude spectrum.

E L Schwartz, A Ramos, E R John.   

Abstract

The ratio of standard deviation to mean, of the amplitude spectrum of well resolved single units, is shown to scale exponentially. This scaling is explained on the basis of a consideration of the relationship of extracellular voltage to voltage gradient, in a dendritic neuron model. A method is then advanced to extract, from multi-unit data, normally distributed amplitude spectra which are indistinguishable from those of well resolved single units. This method is suggested as a means of characterizing, in general, the unit activity obtained from chronically implanted preparations.

Mesh:

Year:  1976        PMID: 974795     DOI: 10.1016/0361-9230(76)90049-6

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  6 in total

1.  Functional-statistical analysis of action potentials in the multineuronal activity of the brain of awake cats.

Authors:  G K Merzhanova; I Porada
Journal:  Neurosci Behav Physiol       Date:  1991 Sep-Oct

Review 2.  Amplitudinal principle for the structural-functional classification of cortical neurons.

Authors:  U G Gasanov
Journal:  Neurosci Behav Physiol       Date:  1987 May-Jun

3.  Mass correlograms of multiple neuronal activity in the cat's extrastriate cortex.

Authors:  S Reinis; D S Weiss; J P Landolt
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

4.  Estimation of the number of normal subpopulations in an heterogeneous sample and of their parameters. A recurrent method applied to neurobiology.

Authors:  J F Vibert; D Caille
Journal:  Pflugers Arch       Date:  1978-03-20       Impact factor: 3.657

5.  Simultaneous multi- and single-unit recordings in the rostral ventromedial medulla of ketamine-anaesthetized rats, and the cross-correlogram analysis of their interactions.

Authors:  S McGaraughty; S Reinis
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

6.  Neuronal composition of microareas of the cat sensorimotor cortex.

Authors:  N V Veber; S S Rapoport; I G Sil'kis
Journal:  Neurosci Behav Physiol       Date:  1983 Nov-Dec
  6 in total

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