Neural Coding
Project status: Active
Research Areas
| Computational Neuroscience |
People
| Michael J. Black |
Publications
Black, M., and Roth, S. On the receptive fields of Markov random fields: Predictions from a probabilistic model of scene statistics. Cosyne 2005 (Mar 2005).
Fisher, J., and Black, M. Motor cortical decoding using an autoregressive moving average model. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sep 2005), pp. 1469-1472. [ pdf ]
Wood, F., Prabhat, Donoghue, J., and Black, M. Inferring attentional state and kinematics from motor cortical firing rates. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sep 2005), pp. 1544-1547. [ pdf ]
Wu, W., Gao, Y., E., B., Donoghue, J., and Black, M. Bayesian population coding of motor cortical activity using a Kalman Filter. Neural Computation 18 (2005), 80-118. [ pdf ]
Donoghue, J., Nurmikko, A., Friehs, G., and Black, M. Development of a neuromotor prosthesis for humans. Advances in Clinical Neurophysiology (Supplements to Clinical Neurophysiology) 57 (Sep 2004), 588-602.
Shaikhouni, A., Wu, W., Moris, D., Donoghue, J., and Black, M. A direct brain-machine interface for 2D cursor control using a Kalman Filter. Society for Neuroscience (2004).
Wood, F., Fellows, M., Donoghue, J., and Black, M. Automatic spike sorting for neural decoding. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sep 2004), pp. 4009-4012. [ pdf ]
Wu, W., Shaikhouni, A., Donoghue, J., and Black, M. Closed-loop neural control of cursor motion using a Kalman filter. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sep 2004), pp. 4126-4129. [ pdf ]
Wu, W., Black, M., Mumford, D., Gao, Y., Bienenstock, E., and Donoghue, J. Modeling and decoding motor cortical activity using a switching Kalman filter. IEEE Trans. Biomedical Engineering 51, 6 (Jun 2004), 933-942. [ pdf ]
Black, M., E., B., Donoghue, J., Serruya, M., Wu, W., and Gao, Y. Connecting brains with machines: The neural control of 2D cursor movement. In Proceedings of the 1st International IEEE/EMBS Conference on Neural Engineering (Mar 2003), pp. 580-583. [ pdf ]
Gao, Y., Black, M., Bienenstock, E., Wu, W., and Donoghue, J. A quantitative comparison of linear and non-linear models of motor cortical activity for the encoding and decoding of arm motions. In Proceedings of the 1st International IEEE/EMBS Conference on Neural Engineering (Mar 2003), pp. 189-192. [ pdf ]
Wu, W., Mumford, D., Black, M., Gao, Y., Bienenstock, E., and Donoghue, J. A Gaussian mixture model for the motor cortical coding of hand motion. Neural Control of Movement (Apr 2003).
Wu, W., Black, M., Gao, Y., Bienenstock, E., Serruya, M., Shaikhouni, A., and Donoghue, J. Neural decoding of cursor motion using a Kalman filter. In Proceedings of the Conference on Advances in Neural Information Processing Systems 15 (2003), pp. 133-140. [ pdf ]
Wu, W., Black, M., Mumford, D., Gao, Y., Bienenstock, E., and Donoghue, J. A switching Kalman filter model for the motor cortical coding of hand motion. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sep 2003), pp. 2083-2086. [ pdf ]
Gao, Y., Black, M., Bienenstock, E., Shoham, S., and Donoghu, J. Probabilistic inference of arm motion from neural activity in motor cortex. In Proceedings of the Conference on Advances in Neural Information Processing Systems 14 (2002), pp. 221-228. [ pdf ]
Gao, Y., Bienenstock, E., Black, M., Shoham, S., Serruya, M., and Donoghue, J. Encoding/decoding of arm kinematics from simultaneously recorded MI neurons. Society for Neuroscience Abst. 27 (2001).
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