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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.

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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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The information about "WHISKTRACKGP" are provided by the European Opendata Portal: CORDIS opendata.

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