Literature DB >> 755062

Self-stimulation in the rat: quantitative characteristics of the reward pathway.

C R Gallistel.   

Abstract

Quantitative characteristics of the neural pathway that carries the reinforcing signal in electrical self-stimulation of the brain were established by finding which combinations of stimulation parameters give the same performance in a runway. The reward for each run was a train of evenly spaced monophasic cathodal pulses from a monopolar electrode. With train duration and pulse frequency held constant, the required current was a hyperbolic function of pulse duration, with chronaxie c approximately 1.5 msec. With pulse duration held constant, the required strength of the train (the charge delivered per second) was a hyperbolic function of train duration, with chronaxie C approximately 500 msec. To a first approximation, the values of c and C were independent of the choice either of train duration and pulse frequency or of pulse duration, respectively. Hence, the current intensity required by any choice of train duration, pulse frequency, and pulse duration dependent on only two basic parameters, c and C, and one quantity, Qi, the required impulse charge. These may reflect, respectively, current integration by directly excited neurons; temporal integration of neural activity by synaptic processes in a neural network; and the peak of the impulse response of the network, assuming that the network has linear dynamics and that the reward depends on the peak of the output of the network.

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Mesh:

Year:  1978        PMID: 755062     DOI: 10.1037/h0077513

Source DB:  PubMed          Journal:  J Comp Physiol Psychol        ISSN: 0021-9940


  11 in total

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Authors:  Thorfinn T Riday; Barry E Kosofsky; C J Malanga
Journal:  Neuropharmacology       Date:  2011-12-16       Impact factor: 5.250

4.  At what stage of neural processing does cocaine act to boost pursuit of rewards?

Authors:  Giovanni Hernandez; Yannick-André Breton; Kent Conover; Peter Shizgal
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

5.  Brain stimulation reward is integrated by a network of electrically coupled GABA neurons.

Authors:  Matthew B Lassen; J Elliott Brown; Sarah H Stobbs; Seth H Gunderson; Levi Maes; C Fernando Valenzuela; Andrew P Ray; Steven J Henriksen; Scott C Steffensen
Journal:  Brain Res       Date:  2007-04-25       Impact factor: 3.252

6.  Scarce means with alternative uses: robbins' definition of economics and its extension to the behavioral and neurobiological study of animal decision making.

Authors:  Peter Shizgal
Journal:  Front Neurosci       Date:  2012-02-09       Impact factor: 4.677

7.  On the Similarity Between the Reinforcing and the Discriminative Properties of Intracranial Self-Stimulation.

Authors:  David N Velazquez-Martinez; Benita Lizeth Pacheco-Gomez; Ana Laura Toscano-Zapien; Maria Almudena Lopez-Guzman; Daniel Velazquez-Lopez
Journal:  Front Behav Neurosci       Date:  2022-02-21       Impact factor: 3.558

8.  The Convergence Model of Brain Reward Circuitry: Implications for Relief of Treatment-Resistant Depression by Deep-Brain Stimulation of the Medial Forebrain Bundle.

Authors:  Vasilios Pallikaras; Peter Shizgal
Journal:  Front Behav Neurosci       Date:  2022-04-01       Impact factor: 3.617

9.  Validation and extension of the reward-mountain model.

Authors:  Yannick-André Breton; Ada Mullett; Kent Conover; Peter Shizgal
Journal:  Front Behav Neurosci       Date:  2013-10-01       Impact factor: 3.558

10.  The effect of probability discounting on reward seeking: a three-dimensional perspective.

Authors:  Yannick-André Breton; Kent Conover; Peter Shizgal
Journal:  Front Behav Neurosci       Date:  2014-08-25       Impact factor: 3.558

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