Literature DB >> 16271457

Beetles, boxes and brain cells: neural mechanisms underlying valuation and learning.

C Daniel Salzman1, Marina A Belova, Joseph J Paton.   

Abstract

Sensory cues in the environment can predict the availability of reward. Through experience, humans and animals learn these predictions and use them to guide their actions. For example, we can learn to discriminate chanterelles from ordinary champignons through experience. Assuming the development of a taste for the complex and lingering flavors of chanterelles, we therefore learn to value the same action--picking mushrooms--differentially depending upon the appearance of a mushroom. One major goal of cognitive neuroscience is to understand the neural mechanisms that underlie this sort of learning. Because the acquisition of rewards motivates much behavior, recent efforts have focused on describing the neural signals related to learning the value of stimuli and actions. Neurons in the basal ganglia, in midbrain dopamine areas, in frontal and parietal cortices and in other brain areas, all modulate their activity in relation to aspects of learning. By training monkeys on various behavioral tasks, recent studies have begun to characterize how neural signals represent distinct processes, such as the timing of events, motivation, absolute (objective) and relative (subjective) valuation, and the formation of associative links between stimuli and potential actions. In addition, a number of studies have either further characterized dopamine signals or sought to determine how such signaling might interact with target structures, such as the striatum and rhinal cortex, to underlie learning.

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Year:  2005        PMID: 16271457      PMCID: PMC2398703          DOI: 10.1016/j.conb.2005.10.016

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  56 in total

Review 1.  Neuronal coding of prediction errors.

Authors:  W Schultz; A Dickinson
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

Review 2.  Parietal mechanisms of target representation.

Authors:  Jacqueline Gottlieb
Journal:  Curr Opin Neurobiol       Date:  2002-04       Impact factor: 6.627

Review 3.  Neural economics and the biological substrates of valuation.

Authors:  P Read Montague; Gregory S Berns
Journal:  Neuron       Date:  2002-10-10       Impact factor: 17.173

4.  Neuronal activity in the lateral intraparietal area and spatial attention.

Authors:  James W Bisley; Michael E Goldberg
Journal:  Science       Date:  2003-01-03       Impact factor: 47.728

5.  A neural correlate of response bias in monkey caudate nucleus.

Authors:  Johan Lauwereyns; Katsumi Watanabe; Brian Coe; Okihide Hikosaka
Journal:  Nature       Date:  2002-07-25       Impact factor: 49.962

Review 6.  What makes us tick? Functional and neural mechanisms of interval timing.

Authors:  Catalin V Buhusi; Warren H Meck
Journal:  Nat Rev Neurosci       Date:  2005-10       Impact factor: 34.870

Review 7.  The neurobiology of slow synaptic transmission.

Authors:  P Greengard
Journal:  Science       Date:  2001-11-02       Impact factor: 47.728

Review 8.  Computational modelling of visual attention.

Authors:  L Itti; C Koch
Journal:  Nat Rev Neurosci       Date:  2001-03       Impact factor: 34.870

Review 9.  Muscarinic and nicotinic cholinergic mechanisms in the mesostriatal dopamine systems.

Authors:  Fu-Ming Zhou; Charles Wilson; John A Dani
Journal:  Neuroscientist       Date:  2003-02       Impact factor: 7.519

10.  Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey.

Authors:  M N Shadlen; W T Newsome
Journal:  J Neurophysiol       Date:  2001-10       Impact factor: 2.714

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  5 in total

Review 1.  Emotion, cognition, and mental state representation in amygdala and prefrontal cortex.

Authors:  C Daniel Salzman; Stefano Fusi
Journal:  Annu Rev Neurosci       Date:  2010       Impact factor: 12.449

2.  Expectation modulates neural responses to pleasant and aversive stimuli in primate amygdala.

Authors:  Marina A Belova; Joseph J Paton; Sara E Morrison; C Daniel Salzman
Journal:  Neuron       Date:  2007-09-20       Impact factor: 17.173

3.  Song selectivity in the pallial-basal ganglia song circuit of zebra finches raised without tutor song exposure.

Authors:  Satoshi Kojima; Allison J Doupe
Journal:  J Neurophysiol       Date:  2007-07-11       Impact factor: 2.714

4.  Surround suppression sharpens the priority map in the lateral intraparietal area.

Authors:  Annegret L Falkner; B Suresh Krishna; Michael E Goldberg
Journal:  J Neurosci       Date:  2010-09-22       Impact factor: 6.167

5.  Neural Correlates of Direct Access Trading in a Real Stock Market: An fMRI Investigation.

Authors:  GianMario Raggetti; Maria G Ceravolo; Lucrezia Fattobene; Cinzia Di Dio
Journal:  Front Neurosci       Date:  2017-09-29       Impact factor: 4.677

  5 in total

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