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      Multiple time-scales of decision-making in the hippocampus and prefrontal cortex

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          Abstract

          The prefrontal cortex and hippocampus are crucial for memory-guided decision-making. Neural activity in the hippocampus exhibits place-cell sequences at multiple timescales, including slow behavioral sequences (~seconds) and fast theta sequences (~100–200 ms) within theta oscillation cycles. How prefrontal ensembles interact with hippocampal sequences to support decision-making is unclear. Here, we examined simultaneous hippocampal and prefrontal ensemble activity in rats during learning of a spatial working-memory decision task. We found clear theta sequences in prefrontal cortex, nested within its behavioral sequences. In both regions, behavioral sequences maintained representations of current choices during navigation. In contrast, hippocampal theta sequences encoded alternatives for deliberation and were coordinated with prefrontal theta sequences that predicted upcoming choices. During error trials, these representations were preserved to guide ongoing behavior, whereas replay sequences during inter-trial periods were impaired prior to navigation. These results establish cooperative interaction between hippocampal and prefrontal sequences at multiple timescales for memory-guided decision-making.

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          LIBSVM: A library for support vector machines

          LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
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            Cellular basis of working memory

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              Choice-specific sequences in parietal cortex during a virtual-navigation decision task

              The posterior parietal cortex (PPC) plays an important role in many cognitive behaviors; however, the neural circuit dynamics underlying PPC function are not well understood. Here we optically imaged the spatial and temporal activity patterns of neuronal populations in mice performing a PPC-dependent task that combined a perceptual decision and memory-guided navigation in a virtual environment. Individual neurons had transient activation staggered relative to one another in time, forming a sequence of neuronal activation spanning the entire length of a task trial. Distinct sequences of neurons were triggered on trials with opposite behavioral choices and defined divergent, choice-specific trajectories through a state space of neuronal population activity. Cells participating in the different sequences and at distinct time points in the task were anatomically intermixed over microcircuit length scales (< 100 micrometers). During working memory decision tasks the PPC may therefore perform computations through sequence-based circuit dynamics, rather than long-lived stable states, implemented using anatomically intermingled microcircuits.
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                Author and article information

                Contributors
                Role: Senior Editor
                Role: Reviewing Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                08 March 2021
                2021
                : 10
                : e66227
                Affiliations
                [1 ]Graduate Program in Neuroscience, Brandeis University WalthamUnited States
                [2 ]Neuroscience Program, Department of Psychology, and Volen National Center for Complex Systems, Brandeis University WalthamUnited States
                University of Texas at Austin United States
                University of Texas at Austin United States
                University of Texas at Austin United States
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-4361-6705
                https://orcid.org/0000-0002-7959-7772
                https://orcid.org/0000-0001-5821-0551
                Article
                66227
                10.7554/eLife.66227
                7993991
                33683201
                3c6af2ef-9bb0-4f39-9326-ee79da9acc64
                © 2021, Tang et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 04 January 2021
                : 05 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01 MH112661
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100001341, Richard and Susan Smith Family Foundation;
                Award ID: Odyssey award
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Neuroscience
                Custom metadata
                Hippocampal and prefrontal neuronal populations form slow behavioral-timescale (~seconds) and fast cognitive-timescale (~100 ms) sequential activity patterns as theta and replay sequences, which play distinct yet cooperative roles in memory-guided decision-making.

                Life sciences
                hippocampus,prefrontal cortex,decision making,working memory,theta oscillation,sharp-wave ripple,rat

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