Neural coding in primary motor cortex
My first research experience was as an undergraduate in John
Donoghue's lab, under the guidance of Nicho Hatsopoulos. I helped
analyze some simultaneous recordings of neurons in primary motor
cortex and helped design a behavioral task to study on-line planning
of sequential movements.
Hatsopoulos, N., Ojakangas, C., Paninski, L. & Donoghue, J. (1998).
about movement direction obtained from synchronous activity of motor
cortical neurons. PNAS 95: 15706-11.
Hatsopoulos, N., Paninski, L. & Donoghue, J. (2003). Sequential
movement representations based on correlated neuronal activity.
Experimental Brain Research 149: 478-486.
While working on the problem of analyzing pairwise interactions
between neurons, we became more interested in understanding single
neuronal responses. We designed a novel random-pursuit behavioral task
to obtain better measurements of motor cortical neurons'
"spatiotemporal" response properties. At the same time, we became
interested in methods for decoding this neural activity into an
estimate of the ongoing dynamic hand position during behavior. This
decoding problem has close connections with the design of neural
Serruya, M., Hatsopulos, N., Paninski, L., Fellows, M. & Donoghue,
J. (2002). Brain-machine
interface: instant neural control of a movement signal. Nature
Paninski, L., Shoham, S., Fellows, M., Hatsopoulos, N. & Donoghue,
J. (2004). Superlinear
population encoding of dynamic hand trajectory in primary motor
cortex. Journal of Neuroscience 24: 8551-8561.
Shoham, S., Paninski, L., Fellows, M., Hatsopoulos, N., Donoghue,
J. & Normann, R. (2005). Optimal encoding model for a
primary motor cortical brain-computer interface. IEEE
Transactions on Biomedical Engineering 52: 1312-1322.
Townsend, B., Paninski, L. & Lemon, R. (2006). Linear encoding of muscle
activity in primary motor cortex and cerebellum. J. Neurophys. 96:
Kulkarni, J. & Paninski, L. (2008). Efficient analytic
computational methods for state-space decoding of goal-directed
movements. IEEE Signal Processing Magazine 25 (special issue on
brain-computer interfaces): 78-86.
Wu, W., Kulkarni, J., Hatsopoulos, N. & Paninski, L. (2009).
Neural decoding of goal-directed movements using a
linear state-space model with hidden
IEEE Trans. Neural Systems and
Rehabilitation Engineering 17: 370-378.
Lawhern, V., Wu, W., Hatsopoulos, N. & Paninski, L. (2010).
Population neuronal decoding using a generalized
linear model with hidden states.
In press, J.
Liam Paninski's research