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      The Secondary Motor Cortex-striatum Circuit Contributes to Suppressing Inappropriate Responses in Perceptual Decision Behavior

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          Abstract

          The secondary motor cortex (M2) encodes choice-related information and plays an important role in cue-guided actions. M2 neurons innervate the dorsal striatum (DS), which also contributes to decision-making behavior, yet how M2 modulates signals in the DS to influence perceptual decision-making is unclear. Using mice performing a visual Go/No-Go task, we showed that inactivating M2 projections to the DS impaired performance by increasing the false alarm (FA) rate to the reward-irrelevant No-Go stimulus. The choice signal of M2 neurons correlated with behavioral performance, and the inactivation of M2 neurons projecting to the DS reduced the choice signal in the DS. By measuring and manipulating the responses of direct or indirect pathway striatal neurons defined by M2 inputs, we found that the indirect pathway neurons exhibited a shorter response latency to the No-Go stimulus, and inactivating their early responses increased the FA rate. These results demonstrate that the M2-to-DS pathway is crucial for suppressing inappropriate responses in perceptual decision behavior.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s12264-023-01073-2.

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          Spontaneous behaviors drive multidimensional, brainwide activity

          Neuronal populations in sensory cortex produce variable responses to sensory stimuli and exhibit intricate spontaneous activity even without external sensory input. Cortical variability and spontaneous activity have been variously proposed to represent random noise, recall of prior experience, or encoding of ongoing behavioral and cognitive variables. Recording more than 10,000 neurons in mouse visual cortex, we observed that spontaneous activity reliably encoded a high-dimensional latent state, which was partially related to the mouse’s ongoing behavior and was represented not just in visual cortex but also across the forebrain. Sensory inputs did not interrupt this ongoing signal but added onto it a representation of external stimuli in orthogonal dimensions. Thus, visual cortical population activity, despite its apparently noisy structure, reliably encodes an orthogonal fusion of sensory and multidimensional behavioral information.
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            The neural basis of decision making.

            The study of decision making spans such varied fields as neuroscience, psychology, economics, statistics, political science, and computer science. Despite this diversity of applications, most decisions share common elements including deliberation and commitment. Here we evaluate recent progress in understanding how these basic elements of decision formation are implemented in the brain. We focus on simple decisions that can be studied in the laboratory but emphasize general principles likely to extend to other settings.
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              Neural networks of the mouse neocortex.

              Numerous studies have examined the neuronal inputs and outputs of many areas within the mammalian cerebral cortex, but how these areas are organized into neural networks that communicate across the entire cortex is unclear. Over 600 labeled neuronal pathways acquired from tracer injections placed across the entire mouse neocortex enabled us to generate a cortical connectivity atlas. A total of 240 intracortical connections were manually reconstructed within a common neuroanatomic framework, forming a cortico-cortical connectivity map that facilitates comparison of connections from different cortical targets. Connectivity matrices were generated to provide an overview of all intracortical connections and subnetwork clusterings. The connectivity matrices and cortical map revealed that the entire cortex is organized into four somatic sensorimotor, two medial, and two lateral subnetworks that display unique topologies and can interact through select cortical areas. Together, these data provide a resource that can be used to further investigate cortical networks and their corresponding functions. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                haishanyao@ion.ac.cn
                Journal
                Neurosci Bull
                Neurosci Bull
                Neuroscience Bulletin
                Springer Nature Singapore (Singapore )
                1673-7067
                1995-8218
                31 May 2023
                31 May 2023
                October 2023
                : 39
                : 10
                : 1544-1560
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, , Chinese Academy of Sciences, ; Shanghai, 200031 China
                [2 ]University of Chinese Academy of Sciences, ( https://ror.org/05qbk4x57) Beijing, 100049 China
                [3 ]Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, ( https://ror.org/0551a0y31) Shanghai, 201210 China
                Author information
                http://orcid.org/0000-0003-4974-9197
                Article
                1073
                10.1007/s12264-023-01073-2
                10533474
                37253985
                4c5aef40-23fe-4b63-ba47-9ec9a4df97b9
                © The Author(s) 2023

                Open Access This 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
                : 16 August 2022
                : 8 March 2023
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                Original Article
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                © Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences 2023

                secondary motor cortex,striatum,visual perceptual decision,choice signal,direct and indirect pathway striatal neurons

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