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      Multisensory coding of angular head velocity in the retrosplenial cortex

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          Summary

          To successfully navigate the environment, animals depend on their ability to continuously track their heading direction and speed. Neurons that encode angular head velocity (AHV) are fundamental to this process, yet the contribution of various motion signals to AHV coding in the cortex remains elusive. By performing chronic single-unit recordings in the retrosplenial cortex (RSP) of the mouse and tracking the activity of individual AHV cells between freely moving and head-restrained conditions, we find that vestibular inputs dominate AHV signaling. Moreover, the addition of visual inputs onto these neurons increases the gain and signal-to-noise ratio of their tuning during active exploration. Psychophysical experiments and neural decoding further reveal that vestibular-visual integration increases the perceptual accuracy of angular self-motion and the fidelity of its representation by RSP ensembles. We conclude that while cortical AHV coding requires vestibular input, where possible, it also uses vision to optimize heading estimation during navigation.

          Highlights

          • Angular head velocity (AHV) coding is widespread in the retrosplenial cortex (RSP)

          • AHV cells maintain their tuning during passive motion and require vestibular input

          • The perception of angular self-motion is improved when visual cues are present

          • AHV coding is similarly improved when both vestibular and visual stimuli are used

          Abstract

          Keshavarzi et al. report that mouse retrosplenial cortical neurons can reliably track the direction and speed of head turns in complete darkness by relying on vestibular information. Addition of visual input improves perception of angular self-motion and increases the accuracy of this cortical head motion signal.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            SciPy 1.0: fundamental algorithms for scientific computing in Python

            SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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              Matplotlib: A 2D Graphics Environment

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                Author and article information

                Contributors
                Journal
                Neuron
                Neuron
                Neuron
                Cell Press
                0896-6273
                1097-4199
                02 February 2022
                02 February 2022
                : 110
                : 3
                : 532-543.e9
                Affiliations
                [1 ]Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London (UCL), 25 Howland Street, London W1T 4JG, United Kingdom
                [2 ]Gatsby Computational Neuroscience Unit, University College London (UCL), 25 Howland Street, London W1T 4JG, United Kingdom
                Author notes
                []Corresponding author s.keshavarzi@ 123456ucl.ac.uk
                [∗∗ ]Corresponding author t.margrie@ 123456ucl.ac.uk
                [3]

                Present address: Neurobehavioural Dynamics Lab, Institute for Neuroscience, D-HEST, Swiss Federal Institute of Technology / ETH Zürich, Zürich 8603, Switzerland

                [4]

                Lead contact

                Article
                S0896-6273(21)00846-1
                10.1016/j.neuron.2021.10.031
                8823706
                34788632
                bc6b1334-f8d2-4714-8a2a-794c01d7133e
                © 2021 The Authors

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

                History
                : 2 April 2021
                : 29 July 2021
                : 20 October 2021
                Categories
                Article

                Neurosciences
                angular head velocity,head direction,multisensory integration,navigation,optic flow,self-motion,spatial orientation,retrosplenial cortex,vestibular sense

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