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WhiskTrackGP

Real-time tracking of whisker kinematics for closed-loop neuroscientific experiments

Total Cost €

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EC-Contrib. €

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Partnership

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 WhiskTrackGP project word cloud

Explore the words cloud of the WhiskTrackGP project. It provides you a very rough idea of what is the project "WhiskTrackGP" about.

minimal    speeds    neural    multiple    gp    behavioral    realized    cerebellar    acquisition    whisker    desired    actively    platform    experiments    stop    active    failed    solution    software    whiskers    video    offline    place    tools    estimate    sec    hair    maximum    capture    1000    rendered    presently    ms    edge    kinematics    swiftly    motion    speed    frequency    image    dataflow    commercialization    ca    orientation    decisions    ported    neuroscientific    mouse    throughput    relate    ascribe    function    distances    3d    surroundings    penetration    shop    limitations    special    experimenter    companies    texture    msec    tracked    sophisticated    frame    accelerated    accurately    structures    maxeler    original    imposes    engines    powerful    rates    computational    whisktrackgp    simultaneously    cerebellum    sensorimotor    contact    moving    unsuited    tracking    performance    delivered    whisking    scheme    hardware    model    paradigms    labs    10000x    minimum    little    environment    nvidia    recognize    behavior    profiles    time    gpus    intervention    bleeding    fps    apparatus    experimental    uses   

Project "WhiskTrackGP" data sheet

The following table provides information about the project.

Coordinator
ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM 

Organization address
address: DR MOLEWATERPLEIN 40
city: ROTTERDAM
postcode: 3015 GD
website: www.erasmusmc.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 149˙938 €
 EC max contribution 149˙938 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM NL (ROTTERDAM) coordinator 149˙938.00

Map

 Project objective

We study the sensorimotor adaptation in the cerebellum with the whiskers of the mouse as a model system. The whiskers are a sophisticated sensorimotor apparatus with which the mouse actively profiles its immediate 3D environment by swiftly whisking. To estimate distances, orientation and texture of its surroundings, the mouse uses a ‘maximum contact, minimum penetration’ scheme, with sensorimotor decisions taking place within as little as 10 ms. This scheme imposes the main experimental challenge to whisker-based studies: hair-like structures moving at high speeds need to be tracked accurately to ascribe whisker motion to cerebellar function. In order to capture the motion of the whiskers accurately, high-speed image acquisition at high frame rates (ca. 1000 fps) is required. On account of the paradigms developed to relate neural activity to whisker behavior, high-throughput and real-time whisker tracking are required. We have evaluated all presently available whisker-tracking tools that delivered the desired kinematics of whisker behavior. However, all have failed in terms of computational time and/or acquisition frequency, which rendered them unsuited both for offline use and for real-time applications. To address these limitations, we propose the commercialization of WhiskTrackGP, a high-performance image-acquisition and -processing platform for bleeding-edge neuroscientific experiments on behavior. WhiskTrackGP is a hardware-software platform that can recognize the kinematics of multiple whiskers simultaneously with minimal intervention from the experimenter. It is realized as powerful whisker-tracking software ported on a special hardware platform based on NVidia GP-GPUs and Maxeler Dataflow-Engines. We demonstrate accelerated offline video analysis in the order of 10000x (from an original processing time of 9.4 sec down to 0.9 msec). WhiskTrackGP comprises a “one-stop shop” solution for labs and companies active in the field of behavioral studies.

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