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      Integration of visual motion and locomotion in mouse visual cortex

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          Abstract

          Successful navigation through the world requires accurate estimation of one’s own speed. To derive this estimate, animals integrate visual speed gauged from optic flow and run speed gauged from proprioceptive and locomotor systems. The primary visual cortex (V1) carries signals related to visual speed, and its responses are also affected by run speed. To study how V1 combines these signals during navigation, we recorded from mice that traversed a virtual environment. Nearly half of the V1 neurons were reliably driven by combinations of visual speed and run speed. These neurons performed a weighted sum of the two speeds. The weights were diverse across neurons, and typically positive. As a population, V1 neurons predicted a linear combination of visual and run speed better than visual or run speeds alone. These data indicate that V1 in the mouse participates in a multimodal processing system that integrates visual motion and locomotion during navigation.

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          Most cited references44

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          Conjunctive representation of position, direction, and velocity in entorhinal cortex.

          Grid cells in the medial entorhinal cortex (MEC) are part of an environment-independent spatial coordinate system. To determine how information about location, direction, and distance is integrated in the grid-cell network, we recorded from each principal cell layer of MEC in rats that explored two-dimensional environments. Whereas layer II was predominated by grid cells, grid cells colocalized with head-direction cells and conjunctive grid x head-direction cells in the deeper layers. All cell types were modulated by running speed. The conjunction of positional, directional, and translational information in a single MEC cell type may enable grid coordinates to be updated during self-motion-based navigation.
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            An internal model for sensorimotor integration.

            On the basis of computational studies it has been proposed that the central nervous system internally simulates the dynamic behavior of the motor system in planning, control, and learning; the existence and use of such an internal model is still under debate. A sensorimotor integration task was investigated in which participants estimated the location of one of their hands at the end of movements made in the dark and under externally imposed forces. The temporal propagation of errors in this task was analyzed within the theoretical framework of optimal state estimation. These results provide direct support for the existence of an internal model.
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              Is neocortex essentially multisensory?

              Although sensory perception and neurobiology are traditionally investigated one modality at a time, real world behaviour and perception are driven by the integration of information from multiple sensory sources. Mounting evidence suggests that the neural underpinnings of multisensory integration extend into early sensory processing. This article examines the notion that neocortical operations are essentially multisensory. We first review what is known about multisensory processing in higher-order association cortices and then discuss recent anatomical and physiological findings in presumptive unimodal sensory areas. The pervasiveness of multisensory influences on all levels of cortical processing compels us to reconsider thinking about neural processing in unisensory terms. Indeed, the multisensory nature of most, possibly all, of the neocortex forces us to abandon the notion that the senses ever operate independently during real-world cognition.
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                Author and article information

                Journal
                9809671
                21092
                Nat Neurosci
                Nat. Neurosci.
                Nature neuroscience
                1097-6256
                1546-1726
                12 February 2014
                03 November 2013
                December 2013
                01 June 2014
                : 16
                : 12
                : 1864-1869
                Affiliations
                [1 ]UCL Institute of Ophthalmology, University College London, London, United Kingdom
                [2 ]Department of Cognitive, Perceptual and Brain Sciences, University College London, London, United Kingdom
                [3 ]UCL Institute of Neurology, University College London, London, United Kingdom
                [4 ]Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom
                Author notes

                Author contributions All the authors contributed to the design of the study and to the interpretation of the data, ABS and AA carried out the experiments, ABS analyzed the data and, ABS, MC and KDH wrote the paper.

                Article
                EMS56482
                10.1038/nn.3567
                3926520
                24185423
                e310d21b-11b9-42e4-bc8a-5ac981831364
                History
                Funding
                Funded by: Wellcome Trust :
                Award ID: 095669 || WT
                Funded by: Wellcome Trust :
                Award ID: 095668 || WT
                Categories
                Article

                Neurosciences
                Neurosciences

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