WhiskTrackGP
Financiado
Real time tracking of whisker kinematics for closed loop neuroscientific experim...
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 b...
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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Duración del proyecto: 12 meses
Fecha Inicio: 2017-08-23
Fecha Fin: 2018-08-31
Fecha Fin: 2018-08-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2018-08-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2017-PoC:
ERC-Proof of Concept
Cerrada
hace 7 años
Presupuesto
El presupuesto total del proyecto asciende a
150K€
Líder del proyecto
ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDA...
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
300.00K€ |
Participante