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      High-Yield Methods for Accurate Two-Alternative Visual Psychophysics in Head-Fixed Mice

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          Summary

          Research in neuroscience increasingly relies on the mouse, a mammalian species that affords unparalleled genetic tractability and brain atlases. Here, we introduce high-yield methods for probing mouse visual decisions. Mice are head-fixed, facilitating repeatable visual stimulation, eye tracking, and brain access. They turn a steering wheel to make two alternative choices, forced or unforced. Learning is rapid thanks to intuitive coupling of stimuli to wheel position. The mouse decisions deliver high-quality psychometric curves for detection and discrimination and conform to the predictions of a simple probabilistic observer model. The task is readily paired with two-photon imaging of cortical activity. Optogenetic inactivation reveals that the task requires mice to use their visual cortex. Mice are motivated to perform the task by fluid reward or optogenetic stimulation of dopamine neurons. This stimulation elicits a larger number of trials and faster learning. These methods provide a platform to accurately probe mouse vision and its neural basis.

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          Highlights

          • A platform to probe visual discrimination and its neural basis in head-fixed mice

          • Extension of classic two-alternative choice design to unforced choices

          • Probabilistic observer model for mouse decisions and effects of inactivation

          • Optogenetic stimulation of dopaminergic neurons can replace water control

          Abstract

          Burgess et al. introduce methods to probe visual discrimination and its neural basis in head-fixed mice. Mice turn a steering wheel to make two alternative choice, and their behavior matches a simple probabilistic observer. The task engages and requires the visual cortex. Optogenetic stimulation of dopaminergic neurons can replace water control.

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          Most cited references49

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          A mesoscale connectome of the mouse brain.

          Comprehensive knowledge of the brain's wiring diagram is fundamental for understanding how the nervous system processes information at both local and global scales. However, with the singular exception of the C. elegans microscale connectome, there are no complete connectivity data sets in other species. Here we report a brain-wide, cellular-level, mesoscale connectome for the mouse. The Allen Mouse Brain Connectivity Atlas uses enhanced green fluorescent protein (EGFP)-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain. This systematic and standardized approach allows spatial registration of individual experiments into a common three dimensional (3D) reference space, resulting in a whole-brain connectivity matrix. A computational model yields insights into connectional strength distribution, symmetry and other network properties. Virtual tractography illustrates 3D topography among interconnected regions. Cortico-thalamic pathway analysis demonstrates segregation and integration of parallel pathways. The Allen Mouse Brain Connectivity Atlas is a freely available, foundational resource for structural and functional investigations into the neural circuits that support behavioural and cognitive processes in health and disease.
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            Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.

            An increasingly powerful approach for studying brain circuits relies on targeting genetically encoded sensors and effectors to specific cell types. However, current approaches for this are still limited in functionality and specificity. Here we utilize several intersectional strategies to generate multiple transgenic mouse lines expressing high levels of novel genetic tools with high specificity. We developed driver and double reporter mouse lines and viral vectors using the Cre/Flp and Cre/Dre double recombinase systems and established a new, retargetable genomic locus, TIGRE, which allowed the generation of a large set of Cre/tTA-dependent reporter lines expressing fluorescent proteins, genetically encoded calcium, voltage, or glutamate indicators, and optogenetic effectors, all at substantially higher levels than before. High functionality was shown in example mouse lines for GCaMP6, YCX2.60, VSFP Butterfly 1.2, and Jaws. These novel transgenic lines greatly expand the ability to monitor and manipulate neuronal activities with increased specificity.
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              Positive reinforcement produced by electrical stimulation of septal area and other regions of rat brain.

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                Author and article information

                Contributors
                Journal
                Cell Rep
                Cell Rep
                Cell Reports
                Cell Press
                2211-1247
                05 September 2017
                05 September 2017
                05 September 2017
                : 20
                : 10
                : 2513-2524
                Affiliations
                [1 ]UCL Institute of Ophthalmology, University College London, London WC1E 6BT, UK
                [2 ]UCL Institute of Neurology, University College London, London WC1E 6BT, UK
                [3 ]Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), University College London, London, UK
                [4 ]Champalimaud Centre for the Unknown, Lisbon, Portugal
                [5 ]UCL Ear Institute, University College London, London WC1X 8EE, UK
                Author notes
                []Corresponding author m.carandini@ 123456ucl.ac.uk
                [6]

                These authors contributed equally

                [7]

                Present address: Google DeepMind, 5 New Street Square, London EC4A 3TW, UK

                [8]

                Present address: Neurosciences & Mental Health Research Institute, Cardiff University School of Medicine, Cardiff CF24 4HQ, UK

                [9]

                Lead Contact

                Article
                S2211-1247(17)31172-5
                10.1016/j.celrep.2017.08.047
                5603732
                28877482
                48ff3bf6-8387-4b20-96ba-f19d9c6145b5
                © 2017 The Author(s)

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

                History
                : 16 May 2016
                : 8 June 2017
                : 14 August 2017
                Categories
                Resource

                Cell biology
                Cell biology

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