Literature DB >> 12371511

Dopamine: generalization and bonuses.

Sham Kakade1, Peter Dayan.   

Abstract

In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experimental data. However, in certain circumstances, the activity of the dopamine cells seems anomalous under the model, as they respond in particular ways to stimuli that are not obviously related to predictions of reward. In this paper, we address two important sets of anomalies, those having to do with generalization and novelty. Generalization responses are treated as the natural consequence of partial information; novelty responses are treated by the suggestion that dopamine cells multiplex information about reward bonuses, including exploration bonuses and shaping bonuses. We interpret this additional role for dopamine in terms of the mechanistic attentional and psychomotor effects of dopamine, having the computational role of guiding exploration.

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Year:  2002        PMID: 12371511     DOI: 10.1016/s0893-6080(02)00048-5

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  139 in total

Review 1.  Dopamine in motivational control: rewarding, aversive, and alerting.

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Journal:  Neuron       Date:  2010-12-09       Impact factor: 17.173

2.  Nicotinic receptors in the ventral tegmental area promote uncertainty-seeking.

Authors:  Jérémie Naudé; Stefania Tolu; Malou Dongelmans; Nicolas Torquet; Sébastien Valverde; Guillaume Rodriguez; Stéphanie Pons; Uwe Maskos; Alexandre Mourot; Fabio Marti; Philippe Faure
Journal:  Nat Neurosci       Date:  2016-01-18       Impact factor: 24.884

3.  Using high-resolution MR imaging at 7T to evaluate the anatomy of the midbrain dopaminergic system.

Authors:  M Eapen; D H Zald; J C Gatenby; Z Ding; J C Gore
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4.  Neural correlates of exemplar novelty processing under different spatial attention conditions.

Authors:  Christian Michael Stoppel; Carsten Nicolas Boehler; Hendrik Strumpf; Hans-Jochen Heinze; Jens Max Hopf; Emrah Düzel; Mircea Ariel Schoenfeld
Journal:  Hum Brain Mapp       Date:  2009-11       Impact factor: 5.038

Review 5.  Decision theory, reinforcement learning, and the brain.

Authors:  Peter Dayan; Nathaniel D Daw
Journal:  Cogn Affect Behav Neurosci       Date:  2008-12       Impact factor: 3.282

6.  Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models.

Authors:  Vincent S Huang; Adrian Haith; Pietro Mazzoni; John W Krakauer
Journal:  Neuron       Date:  2011-05-26       Impact factor: 17.173

7.  The anatomy of choice: active inference and agency.

Authors:  Karl Friston; Philipp Schwartenbeck; Thomas Fitzgerald; Michael Moutoussis; Timothy Behrens; Raymond J Dolan
Journal:  Front Hum Neurosci       Date:  2013-09-25       Impact factor: 3.169

8.  Midbrain dopamine neurons signal preference for advance information about upcoming rewards.

Authors:  Ethan S Bromberg-Martin; Okihide Hikosaka
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

9.  Learning to represent reward structure: a key to adapting to complex environments.

Authors:  Hiroyuki Nakahara; Okihide Hikosaka
Journal:  Neurosci Res       Date:  2012-10-13       Impact factor: 3.304

10.  Temporal-difference reinforcement learning with distributed representations.

Authors:  Zeb Kurth-Nelson; A David Redish
Journal:  PLoS One       Date:  2009-10-20       Impact factor: 3.240

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