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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.

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

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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