13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The primary auditory cortex (A1) is an essential, integrative node that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision-making. However, the realization of this integration with respect to the cortical microcircuitry is not well understood. Here, we characterize layer-specific, spatiotemporal synaptic population activity with chronic, laminar current source density analysis in Mongolian gerbils ( Meriones unguiculatus) trained in an auditory decision-making Go/NoGo shuttle-box task. We demonstrate that not only sensory but also task- and choice-related information is represented in the mesoscopic neuronal population code of A1. Based on generalized linear-mixed effect models we found a layer-specific and multiplexed representation of the task rule, action selection, and the animal’s behavioral options as accumulating evidence in preparation of correct choices. The findings expand our understanding of how individual layers contribute to the integrative circuit in the sensory cortex in order to code task-relevant information and guide sensory-based decision-making.

          Abstract

          Marina M. Zempeltzi et al. show that task- and choice-related information is encoded by layer-specific population activity in the primary auditory cortex of Mongolian gerbils trained in an auditory decision-making task. These findings highlight the integrative nature of sensory circuits and the contribution of specific layers in guiding sensory-based decision-making.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: found
          • Article: not found

          Generalized eta and omega squared statistics: measures of effect size for some common research designs.

          The editorial policies of several prominent educational and psychological journals require that researchers report some measure of effect size along with tests for statistical significance. In analysis of variance contexts, this requirement might be met by using eta squared or omega squared statistics. Current procedures for computing these measures of effect often do not consider the effect that design features of the study have on the size of these statistics. Because research-design features can have a large effect on the estimated proportion of explained variance, the use of partial eta or omega squared can be misleading. The present article provides formulas for computing generalized eta and omega squared statistics, which provide estimates of effect size that are comparable across a variety of research designs.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Distributed coding of choice, action, and engagement across the mouse brain

            Vision, choice, action, and behavioral engagement arise from neuronal activity that may be distributed across brain regions. Here we delineate the spatial distribution of neurons underlying these processes. We used Neuropixels probes 1,2 to record from ~30,000 neurons in 42 brain regions of mice performing a visual discrimination task 3 . Neurons in nearly all regions responded non-specifically when the mouse initiated an action. By contrast, neurons encoding visual stimuli and upcoming choices occupied restricted regions in neocortex, basal ganglia, and midbrain. Choice signals were rare and emerged with indistinguishable timing across regions. Midbrain neurons were activated before contralateral choices and suppressed before ipsilateral choices, whereas forebrain neurons could prefer either side. Brain-wide pre-stimulus activity predicted engagement in individual trials and in the overall task, with enhanced subcortical but suppressed neocortical activity during engagement. These results reveal organizing principles for the distribution of neurons encoding behaviorally relevant variables across the mouse brain.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Rapid task-related plasticity of spectrotemporal receptive fields in primary auditory cortex.

              We investigated the hypothesis that task performance can rapidly and adaptively reshape cortical receptive field properties in accord with specific task demands and salient sensory cues. We recorded neuronal responses in the primary auditory cortex of behaving ferrets that were trained to detect a target tone of any frequency. Cortical plasticity was quantified by measuring focal changes in each cell's spectrotemporal response field (STRF) in a series of passive and active behavioral conditions. STRF measurements were made simultaneously with task performance, providing multiple snapshots of the dynamic STRF during ongoing behavior. Attending to a specific target frequency during the detection task consistently induced localized facilitative changes in STRF shape, which were swift in onset. Such modulatory changes may enhance overall cortical responsiveness to the target tone and increase the likelihood of 'capturing' the attended target during the detection task. Some receptive field changes persisted for hours after the task was over and hence may contribute to long-term sensory memory.
                Bookmark

                Author and article information

                Contributors
                mzempelt@lin-magdeburg.de
                mhappel@lin-magdeburg.de
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                3 July 2020
                3 July 2020
                2020
                : 3
                : 345
                Affiliations
                [1 ]ISNI 0000 0001 2109 6265, GRID grid.418723.b, Leibniz Institute for Neurobiology, ; D-39118 Magdeburg, Germany
                [2 ]ISNI 0000 0001 1018 4307, GRID grid.5807.a, Institute of Biology, Otto von Guericke University, ; D-39120 Magdeburg, Germany
                [3 ]ISNI 0000 0001 2109 6265, GRID grid.418723.b, Center for Behavioral Brain Sciences (CBBS), ; 39106 Magdeburg, Germany
                Author information
                http://orcid.org/0000-0001-9689-8561
                http://orcid.org/0000-0002-9198-5516
                Article
                1073
                10.1038/s42003-020-1073-3
                7335110
                32620808
                89256cba-00a2-4c82-8b25-166d763ded66
                © The Author(s) 2020

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 December 2019
                : 11 June 2020
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                systems biology,neural circuits,cortex
                systems biology, neural circuits, cortex

                Comments

                Comment on this article