Name
Abstract | ||
|---|---|---|
We present an optimal method for decoding the activity of primary motor cortex (M1) neurons in a nonhuman primate during single finger movements. The method is based on the maximum-likelihood (ML) inference, which assuming the probability of finger movements is uniform, is equivalent to the maximum a posteriori (MAP) inference. Each neuron's activation is first quantified by the change in firing r... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TBME.2009.2020791 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Maximum likelihood decoding,Fingers,Neural prosthesis,Maximum likelihood estimation,Neurons,Biomedical engineering,Information technology,Probability density function,Wrist,Prosthetics | Computer vision,Motion control,Neurophysiology,Pattern recognition,Computer science,Neural decoding,Artificial intelligence,Motor cortex,Maximum a posteriori estimation,Decoding methods,Primary motor cortex,Artificial neural network | Journal |
Volume | Issue | ISSN |
57 | 3 | 0018-9294 |
Citations | PageRank | References |
10 | 1.46 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shin | 1 | 10 | 1.46 |
| Aggawal | 2 | 10 | 1.46 |
| Soumyadipta Acharya | 3 | 15 | 2.11 |
| Marc H. Schieber | 4 | 25 | 7.34 |
| nitish v thakor | 5 | 559 | 95.33 |