Literature DB >> 23676276

A unified selection signal for attention and reward in primary visual cortex.

Liviu Stănişor1, Chris van der Togt, Cyriel M A Pennartz, Pieter R Roelfsema.   

Abstract

Stimuli associated with high rewards evoke stronger neuronal activity than stimuli associated with lower rewards in many brain regions. It is not well understood how these reward effects influence activity in sensory cortices that represent low-level stimulus features. Here, we investigated the effects of reward information in the primary visual cortex (area V1) of monkeys. We found that the reward value of a stimulus relative to the value of other stimuli is a good predictor of V1 activity. Relative value biases the competition between stimuli, just as has been shown for selective attention. The neuronal latency of this reward value effect in V1 was similar to the latency of attentional influences. Moreover, V1 neurons with a strong value effect also exhibited a strong attention effect, which implies that relative value and top-down attention engage overlapping, if not identical, neuronal selection mechanisms. Our findings demonstrate that the effects of reward value reach down to the earliest sensory processing levels of the cerebral cortex and imply that theories about the effects of reward coding and top-down attention on visual representations should be unified.

Keywords:  object-based attention; reward expectancy

Mesh:

Year:  2013        PMID: 23676276      PMCID: PMC3670348          DOI: 10.1073/pnas.1300117110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  49 in total

1.  Neural correlates of decision variables in parietal cortex.

Authors:  M L Platt; P W Glimcher
Journal:  Nature       Date:  1999-07-15       Impact factor: 49.962

2.  Expectation of reward modulates cognitive signals in the basal ganglia.

Authors:  R Kawagoe; Y Takikawa; O Hikosaka
Journal:  Nat Neurosci       Date:  1998-09       Impact factor: 24.884

3.  Relative reward preference in primate orbitofrontal cortex.

Authors:  L Tremblay; W Schultz
Journal:  Nature       Date:  1999-04-22       Impact factor: 49.962

Review 4.  Neural selection and control of visually guided eye movements.

Authors:  J D Schall; K G Thompson
Journal:  Annu Rev Neurosci       Date:  1999       Impact factor: 12.449

Review 5.  Neuronal representations of cognitive state: reward or attention?

Authors:  John H R Maunsell
Journal:  Trends Cogn Sci       Date:  2004-06       Impact factor: 20.229

Review 6.  Basal ganglia orient eyes to reward.

Authors:  Okihide Hikosaka; Kae Nakamura; Hiroyuki Nakahara
Journal:  J Neurophysiol       Date:  2006-02       Impact factor: 2.714

7.  Object-based attention in the primary visual cortex of the macaque monkey.

Authors:  P R Roelfsema; V A Lamme; H Spekreijse
Journal:  Nature       Date:  1998-09-24       Impact factor: 49.962

8.  Reward expectancy in primate prefrontal neurons.

Authors:  M Watanabe
Journal:  Nature       Date:  1996-08-15       Impact factor: 49.962

Review 9.  Neural mechanisms of selective visual attention.

Authors:  R Desimone; J Duncan
Journal:  Annu Rev Neurosci       Date:  1995       Impact factor: 12.449

10.  The orbitofrontal cortex: neuronal activity in the behaving monkey.

Authors:  S J Thorpe; E T Rolls; S Maddison
Journal:  Exp Brain Res       Date:  1983       Impact factor: 1.972

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  59 in total

1.  Value is in the eye of the beholder: early visual cortex codes monetary value of objects during a diverted attention task.

Authors:  Andrew S Persichetti; Geoffrey K Aguirre; Sharon L Thompson-Schill
Journal:  J Cogn Neurosci       Date:  2014-11-12       Impact factor: 3.225

2.  Reward breaks through center-surround inhibition via anterior insula.

Authors:  Lihui Wang; Hongbo Yu; Jie Hu; Jan Theeuwes; Xiaoliang Gong; Yang Xiang; Changjun Jiang; Xiaolin Zhou
Journal:  Hum Brain Mapp       Date:  2015-09-29       Impact factor: 5.038

3.  Amplitude modulations of cortical sensory responses in pulsatile evidence accumulation.

Authors:  Sue Ann Koay; Stephan Thiberge; Carlos D Brody; David W Tank
Journal:  Elife       Date:  2020-12-02       Impact factor: 8.140

Review 4.  Components and characteristics of the dopamine reward utility signal.

Authors:  William R Stauffer; Armin Lak; Shunsuke Kobayashi; Wolfram Schultz
Journal:  J Comp Neurol       Date:  2015-09-08       Impact factor: 3.215

5.  Value-based attentional capture influences context-dependent decision-making.

Authors:  Sirawaj Itthipuripat; Kexin Cha; Napat Rangsipat; John T Serences
Journal:  J Neurophysiol       Date:  2015-05-20       Impact factor: 2.714

6.  Theta Oscillations in Visual Cortex Emerge with Experience to Convey Expected Reward Time and Experienced Reward Rate.

Authors:  Camila L Zold; Marshall G Hussain Shuler
Journal:  J Neurosci       Date:  2015-07-01       Impact factor: 6.167

7.  Rapid and active stabilization of visual cortical firing rates across light-dark transitions.

Authors:  Alejandro Torrado Pacheco; Elizabeth I Tilden; Sophie M Grutzner; Brian J Lane; Yue Wu; Keith B Hengen; Julijana Gjorgjieva; Gina G Turrigiano
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-31       Impact factor: 11.205

8.  Reward-prospect interacts with trial-by-trial preparation for potential distraction.

Authors:  Francesco Marini; Berry van den Berg; Marty G Woldorff
Journal:  Vis cogn       Date:  2015-02-01

9.  Cross-modal effects of value on perceptual acuity and stimulus encoding.

Authors:  Arezoo Pooresmaeili; Thomas H B FitzGerald; Dominik R Bach; Ulf Toelch; Florian Ostendorf; Raymond J Dolan
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-06       Impact factor: 11.205

10.  Toward an Integration of Deep Learning and Neuroscience.

Authors:  Adam H Marblestone; Greg Wayne; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2016-09-14       Impact factor: 2.380

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