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  3. Fast visual learning of competitive neuronal assemblies revealed using two novel technologies: Moculus (Virtual Reality) and Atlas (Fast 3d  Microscopy)
Fast visual learning of competitive neuronal assemblies revealed using two novel technologies: Moculus (Virtual Reality) and Atlas (Fast 3d  Microscopy)
Department of Brain and Cognitive Sciences (BCS)

Fast visual learning of competitive neuronal assemblies revealed using two novel technologies: Moculus (Virtual Reality) and Atlas (Fast 3d  Microscopy)

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Add to CalendarAmerica/New_YorkFast visual learning of competitive neuronal assemblies revealed using two novel technologies: Moculus (Virtual Reality) and Atlas (Fast 3d  Microscopy)08/25/2022 11:00 am08/25/2022 11:00 amSingleton Auditorium,46-3002
August 25, 2022
11:00 am
Location
Singleton Auditorium,46-3002
Contact
greggh@mit.edu
    Description

    Talk title: "Fast visual learning of competitive neuronal assemblies revealed using two novel technologies: Moculus (Virtual Reality) and Atlas (Fast 3d  Microscopy)””

    Speaker: Balázs Rózsa, MD, PhD, Director of the BrainVisionCenter in Budapest Hungary

    Thursday 8/25 at 11am 

    In person: 46-3189

    Pizza will be served after the talk

    Zoom link: https://mit.zoom.us/j/95398589980?pwd=TDE5ZlhzK09uTGxCeUJVbHV5MXBmUT09 

    Password: 523142

    Hosts: Gregg Heller and Mriganka Sur

    Contact: Gregg Heller (greggh@mit.edu)

     

    Abstract:

    The time scale of visual learning is protracted in rodents, which can interfere with the readout of the underlying network mechanisms. Here we report a head-mounted, bidirectional display (Moculus) for small head-fixed animals which covers the entire visual-field, allows binocular depth-perception, and provides a fully immersive experience. This naturalistic and controllable behavioural environment combined with a treadmill and fast 3D acousto-optical imaging (Atlas) revealed fast visual learning in tens of minutes mediated by competing neuronal representations of the visual cues. Before learning, visual cues presented simultaneously in the VR are represented by a sparse code in the V1 region of the cortex. During learning, all neuronal assemblies initially grow in parallel before before the reinforcement-associated cue dominates the network representation and control cues return to normal sparse coding.  

     

    The technical portion of this talk will also highlight acousto-optical microscopy technology that allows random access point scanning in all 3 dimensions (x,y AND z) which was used for the network imaging in this work. The following applications of this technology will also be shown, all possible with ROIs distributed across a spatial volume in 3D: 

    Photostimulation with single cell specificity while simultaneously imaging population activity for all optical interrogation Voltage imaging in-vivo (with simultaneous calcium imaging also shown)  3D image stabilization/motion correction in behaving mice 

     

     

    Species studied:                           Mouse

    Brain Areas studied:                    Visual Cortex

    Neural Phenomena:                     Network Ensembles 

    Behavior:         Associative cue learning in virtual reality

    data type :                                     2P Calcium Imaging of somatic activity

    Lab Website: https://rozsalab.eu

    Relevant Publications:

    https://doi.org/10.1364/BRAIN.2021.BM1B.2

    Using 3D Optical Photostimulation Induced Artificial Perception to Investigate Neuronal Ensembles Coding Visual Information. Rozsa, ... and Katana, Optics and the Brain, 2021

    https://doi.org/10.1101/2022.04.27.489695 

    Cortex-wide fast activation of VIP-expressing inhibitory neurons by reward and punishment. Szadai, ... and Rozsa, Bioarxiv, 2022

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