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      Action and learning shape the activity of neuronal circuits in the visual cortex

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          Highlights

          • Arousal and locomotion modulate neuronal activity in primary visual cortex.

          • Neurons in primary visual cortex respond to visuomotor mismatch.

          • Experience shapes neuronal responses to familiar stimuli, reward and object location.

          • Neuronal representations of visual stimuli are modulated according to the behavioural relevance of the stimuli.

          • Neuromodulatory, top-down and thalamocortical inputs convey arousal-related and motor-related signals to primary visual cortex.

          Abstract

          Nonsensory variables strongly influence neuronal activity in the adult mouse primary visual cortex. Neuronal responses to visual stimuli are modulated by behavioural state, such as arousal and motor activity, and are shaped by experience. This dynamic process leads to neural representations in the visual cortex that reflect stimulus familiarity, expectations of reward and object location, and mismatch between self-motion and visual-flow. The recent development of genetic tools and recording techniques in awake behaving mice has enabled the investigation of the circuit mechanisms underlying state-dependent and experience-dependent neuronal representations in primary visual cortex. These neuronal circuits involve neuromodulatory, top-down cortico-cortical and thalamocortical pathways. The functions of nonsensory signals at this early stage of visual information processing are now beginning to be unravelled.

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          Most cited references74

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          Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data.

          We present a modular approach for analyzing calcium imaging recordings of large neuronal ensembles. Our goal is to simultaneously identify the locations of the neurons, demix spatially overlapping components, and denoise and deconvolve the spiking activity from the slow dynamics of the calcium indicator. Our approach relies on a constrained nonnegative matrix factorization that expresses the spatiotemporal fluorescence activity as the product of a spatial matrix that encodes the spatial footprint of each neuron in the optical field and a temporal matrix that characterizes the calcium concentration of each neuron over time. This framework is combined with a novel constrained deconvolution approach that extracts estimates of neural activity from fluorescence traces, to create a spatiotemporal processing algorithm that requires minimal parameter tuning. We demonstrate the general applicability of our method by applying it to in vitro and in vivo multi-neuronal imaging data, whole-brain light-sheet imaging data, and dendritic imaging data.
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            Imaging large-scale neural activity with cellular resolution in awake, mobile mice.

            We report a technique for two-photon fluorescence imaging with cellular resolution in awake, behaving mice with minimal motion artifact. The apparatus combines an upright, table-mounted two-photon microscope with a spherical treadmill consisting of a large, air-supported Styrofoam ball. Mice, with implanted cranial windows, are head restrained under the objective while their limbs rest on the ball's upper surface. Following adaptation to head restraint, mice maneuver on the spherical treadmill as their heads remain motionless. Image sequences demonstrate that running-associated brain motion is limited to approximately 2-5 microm. In addition, motion is predominantly in the focal plane, with little out-of-plane motion, making the application of a custom-designed Hidden-Markov-Model-based motion correction algorithm useful for postprocessing. Behaviorally correlated calcium transients from large neuronal and astrocytic populations were routinely measured, with an estimated motion-induced false positive error rate of <5%.
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              Receptive fields of single neurones in the cat's striate cortex.

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                Author and article information

                Contributors
                Journal
                Curr Opin Neurobiol
                Curr. Opin. Neurobiol
                Current Opinion in Neurobiology
                Current Biology
                0959-4388
                1873-6882
                1 October 2018
                October 2018
                : 52
                : 88-97
                Affiliations
                [1 ]Center for Behavioral Brain Sciences, Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
                [2 ]German Center for Neurodegenerative Diseases, Magdeburg, Germany
                [3 ]Centre for Discovery Brain Sciences, School of Biomedical Sciences, Edinburgh, United Kingdom
                [4 ]Simons Initiative for the Developing Brain, Edinburgh, United Kingdom
                Article
                S0959-4388(18)30040-0
                10.1016/j.conb.2018.04.020
                6562203
                29727859
                c961260f-58c9-4796-a614-3a4d2473957e
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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                Neurosciences
                Neurosciences

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