TY - GEN
T1 - Neural Decoding of Single and Multi-finger Movements Based on ML
AU - Shin, Hyun Chul
AU - Schieber, M.
AU - Thakor, Nitish
PY - 2009
Y1 - 2009
N2 - We present an optimal method for decoding the activity of primary motor cortex (M1) neurons in a non-human primate during finger movements. The method is based on the maximum likelihood (ML) inference. Each neuron's activation is first quantified by the change in firing rate before and after finger movement. We then estimate the probability density function of this activation given finger movement. Based on the ML criterion, we choose finger movements to maximize the likelihood. With as few as 20-25 randomly selected neurons, the proposed method decoded single finger movements with 99% accuracy. Since the training and decoding procedures in the proposed method are simple and computationally efficient, the method can be extended for real-time neuroprosthetic control of a dexterous hand.
AB - We present an optimal method for decoding the activity of primary motor cortex (M1) neurons in a non-human primate during finger movements. The method is based on the maximum likelihood (ML) inference. Each neuron's activation is first quantified by the change in firing rate before and after finger movement. We then estimate the probability density function of this activation given finger movement. Based on the ML criterion, we choose finger movements to maximize the likelihood. With as few as 20-25 randomly selected neurons, the proposed method decoded single finger movements with 99% accuracy. Since the training and decoding procedures in the proposed method are simple and computationally efficient, the method can be extended for real-time neuroprosthetic control of a dexterous hand.
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U2 - 10.1007/978-3-540-92841-6_110
DO - 10.1007/978-3-540-92841-6_110
M3 - Conference contribution
AN - SCOPUS:84887612377
SN - 9783540928409
T3 - IFMBE Proceedings
SP - 448
EP - 451
BT - 13th International Conference on Biomedical Engineering - ICBME 2008
T2 - 13th International Conference on Biomedical Engineering, ICBME 2008
Y2 - 3 December 2008 through 6 December 2008
ER -