Literature DB >> 17615124

Statistics of midbrain dopamine neuron spike trains in the awake primate.

Hannah M Bayer1, Brian Lau, Paul W Glimcher.   

Abstract

Work in behaving primates indicates that midbrain dopamine neurons encode a prediction error, the difference between an obtained reward and the reward expected. Studies of dopamine action potential timing in the alert and anesthetized rat indicate that dopamine neurons respond in tonic and phasic modes, a distinction that has been less well characterized in the primates. We used spike train models to examine the relationship between the tonic and burst modes of activity in dopamine neurons while monkeys were performing a reinforced visuo-saccadic movement task. We studied spiking activity during four task-related intervals; two of these were intervals during which no task-related events occurred, whereas two were periods marked by task-related phasic activity. We found that dopamine neuron spike trains during the intervals when no events occurred were well described as tonic. Action potentials appeared to be independent, to occur at low frequency, and to be almost equally well described by Gaussian and Poisson-like (gamma) processes. Unlike in the rat, interspike intervals as low as 20 ms were often observed during these presumptively tonic epochs. Having identified these periods of presumptively tonic activity, we were able to quantitatively define phasic modulations (both increases and decreases in activity) during the intervals in which task-related events occurred. This analysis revealed that the phasic modulations of these neurons include both bursting, as has been described previously, and pausing. Together bursts and pauses seemed to provide a continuous, although nonlinear, representation of the theoretically defined reward prediction error of reinforcement learning.

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Year:  2007        PMID: 17615124     DOI: 10.1152/jn.01140.2006

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  77 in total

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2.  Influence of phasic and tonic dopamine release on receptor activation.

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Review 3.  Opponency revisited: competition and cooperation between dopamine and serotonin.

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4.  Expanding the role of striatal cholinergic interneurons and the midbrain dopamine system in appetitive instrumental conditioning.

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Review 5.  A framework for studying the neurobiology of value-based decision making.

Authors:  Antonio Rangel; Colin Camerer; P Read Montague
Journal:  Nat Rev Neurosci       Date:  2008-06-11       Impact factor: 34.870

6.  Tectonigral projections in the primate: a pathway for pre-attentive sensory input to midbrain dopaminergic neurons.

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Journal:  Eur J Neurosci       Date:  2009-01-17       Impact factor: 3.386

7.  Phasic dopamine release in the rat nucleus accumbens symmetrically encodes a reward prediction error term.

Authors:  Andrew S Hart; Robb B Rutledge; Paul W Glimcher; Paul E M Phillips
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

Review 8.  Neurocomputational models of basal ganglia function in learning, memory and choice.

Authors:  Michael X Cohen; Michael J Frank
Journal:  Behav Brain Res       Date:  2008-10-04       Impact factor: 3.332

9.  Dopaminergic drugs modulate learning rates and perseveration in Parkinson's patients in a dynamic foraging task.

Authors:  Robb B Rutledge; Stephanie C Lazzaro; Brian Lau; Catherine E Myers; Mark A Gluck; Paul W Glimcher
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

10.  Dopamine neurons encode performance error in singing birds.

Authors:  Vikram Gadagkar; Pavel A Puzerey; Ruidong Chen; Eliza Baird-Daniel; Alexander R Farhang; Jesse H Goldberg
Journal:  Science       Date:  2016-12-08       Impact factor: 47.728

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