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Divide-and-conquer ...
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models.
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Kim, Sung-Phil (författare)
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Sanchez, Justin C (författare)
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Erdogmus, Deniz (författare)
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Rao, Yadunandana N (författare)
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- Wessberg, Johan, 1962 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för fysiologi och farmakologi, Avdelningen för fysiologi,Institute of Physiology and Pharmacology, Dept of Physiology
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Principe, Jose C (författare)
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Nicolelis, Miguel (författare)
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(creator_code:org_t)
- 2003
- 2003
- Engelska.
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Ingår i: Neural networks : the official journal of the International Neural Network Society. - 0893-6080. ; 16:5-6, s. 865-71
- Relaterad länk:
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper proposes a divide-and-conquer strategy for designing brain machine interfaces. A nonlinear combination of competitively trained local linear models (experts) is used to identify the mapping from neuronal activity in cortical areas associated with arm movement to the hand position of a primate. The proposed architecture and the training algorithm are described in detail and numerical performance comparisons with alternative linear and nonlinear modeling approaches, including time-delay neural networks and recursive multilayer perceptrons, are presented. This new strategy allows training the local linear models using normalized LMS and using a relatively smaller nonlinear network to efficiently combine the predictions of the linear experts. This leads to savings in computational requirements, while the performance is still similar to a large fully nonlinear network.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Fysiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Physiology (hsv//eng)
Nyckelord
- Artificial Intelligence
- Brain
- physiology
- Nonlinear Dynamics
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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