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      Neuronal Response to Reward and Luminance in Macaque LIP During Saccadic Choice

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          Abstract

          Recent work in decision neuroscience suggests that visual saliency can interact with reward-based choice, and the lateral intraparietal cortex (LIP) is implicated in this process. In this study, we recorded from LIP neurons while monkeys performed a two alternative choice task in which the reward and luminance associated with each offer were varied independently. We discovered that the animal’s choice was dictated by the reward amount while the luminance had a marginal effect. In the LIP, neuronal activity corresponded well with the animal’s choice pattern, in that a majority of reward-modulated neurons encoded the reward amount in the neuron’s preferred hemifield with a positive slope. In contrast, compared to their responses to low luminance, an approximately equal proportion of luminance-sensitive neurons responded to high luminance with increased or decreased activity, leading to a much weaker population-level response. Meanwhile, in the non-preferred hemifield, the strength of encoding for reward amount and luminance was positively correlated, suggesting the integration of these two factors in the LIP. Moreover, neurons encoding reward and luminance were homogeneously distributed along the anterior-posterior axis of the LIP. Overall, our study provides further evidence supporting the neural instantiation of a priority map in the LIP in reward-based decisions.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s12264-022-00948-0.

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          Neural correlates of decision variables in parietal cortex.

          Decision theory proposes that humans and animals decide what to do in a given situation by assessing the relative value of each possible response. This assessment can be computed, in part, from the probability that each action will result in a gain and the magnitude of the gain expected. Here we show that the gain (or reward) a monkey can expect to realize from an eye-movement response modulates the activity of neurons in the lateral intraparietal area, an area of primate cortex that is thought to transform visual signals into eye-movement commands. We also show that the activity of these neurons is sensitive to the probability that a particular response will result in a gain. When animals can choose freely between two alternative responses, the choices subjects make and neuronal activation in this area are both correlated with the relative amount of gain that the animal can expect from each response. Our data indicate that a decision-theoretic model may provide a powerful new framework for studying the neural processes that intervene between sensation and action.
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            Attention, intention, and priority in the parietal lobe.

            For many years there has been a debate about the role of the parietal lobe in the generation of behavior. Does it generate movement plans (intention) or choose objects in the environment for further processing? To answer this, we focus on the lateral intraparietal area (LIP), an area that has been shown to play independent roles in target selection for saccades and the generation of visual attention. Based on results from a variety of tasks, we propose that LIP acts as a priority map in which objects are represented by activity proportional to their behavioral priority. We present evidence to show that the priority map combines bottom-up inputs like a rapid visual response with an array of top-down signals like a saccade plan. The spatial location representing the peak of the map is used by the oculomotor system to target saccades and by the visual system to guide visual attention.
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              Matching behavior and the representation of value in the parietal cortex.

              Psychologists and economists have long appreciated the contribution of reward history and expectation to decision-making. Yet we know little about how specific histories of choice and reward lead to an internal representation of the "value" of possible actions. We approached this problem through an integrated application of behavioral, computational, and physiological techniques. Monkeys were placed in a dynamic foraging environment in which they had to track the changing values of alternative choices through time. In this context, the monkeys' foraging behavior provided a window into their subjective valuation. We found that a simple model based on reward history can duplicate this behavior and that neurons in the parietal cortex represent the relative value of competing actions predicted by this model.
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                Author and article information

                Contributors
                ahchen@brain.ecnu.edu.cn
                xinying.cai@nyu.edu
                Journal
                Neurosci Bull
                Neurosci Bull
                Neuroscience Bulletin
                Springer Nature Singapore (Singapore )
                1673-7067
                1995-8218
                17 September 2022
                17 September 2022
                January 2023
                : 39
                : 1
                : 14-28
                Affiliations
                [1 ]GRID grid.22069.3f, ISNI 0000 0004 0369 6365, Key Laboratory of Brain Functional Genomics (Ministry of Education), , East China Normal University (ECNU), ; Shanghai, 200062 China
                [2 ]GRID grid.449457.f, ISNI 0000 0004 5376 0118, New York University (NYU) Shanghai, ; Shanghai, 200122 China
                [3 ]GRID grid.449457.f, ISNI 0000 0004 5376 0118, NYU-ECNU Institute of Brain, Cognitive Science at NYU Shanghai, ; Shanghai, 200062 China
                [4 ]GRID grid.22069.3f, ISNI 0000 0004 0369 6365, Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, , ECNU, ; Shanghai, 200062 China
                Article
                948
                10.1007/s12264-022-00948-0
                9849667
                36114983
                4dcc8c05-6d36-43b1-9a4c-10d578b0b0af
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 January 2022
                : 18 June 2022
                Categories
                Original Article
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                © Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences 2023

                reward,luminance,attention,priority map,saccadic choice,lateral intraparietal cortex

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