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Liam Paninski

Showing results (11-20 of 138) with videos related to

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Journal of Neuroscience Methods|December 25, 2010
Kalman filter mixture model for spike sorting of non-stationary dataAna Calabrese, Liam Paninski
Journal of Computational Neuroscience|March 23, 2012
A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical dataYuriy Mishchenko, Liam Paninski
Network (Bristol, England)|December 9, 2010
Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methodsKamiar Rahnama Rad, Liam Paninski
Network (Bristol, England)|October 19, 2007
Common-input models for multiple neural spike-train dataJayant E Kulkarni, Liam Paninski
Journal of Computational Neuroscience|July 9, 2013
Fast inference in generalized linear models via expected log-likelihoodsAlexandro D Ramirez, Liam Paninski
Journal of Computational Neuroscience|August 24, 2011
Optimal experimental design for sampling voltage on dendritic trees in the low-SNR regimeJonathan Hunter Huggins, Liam Paninski
Progress in Brain Research|October 11, 2007
Statistical models for neural encoding, decoding, and optimal stimulus designLiam Paninski, Jonathan Pillow, Jeremy Lewi
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Efficient model-based design of neurophysiological experimentsJeremy Lewi, Robert Butera, Liam Paninski
Neural Computation|October 22, 2008
Sequential optimal design of neurophysiology experimentsJeremy Lewi, Robert Butera, Liam Paninski
Plos Computational Biology|May 9, 2009
Smoothing of, and parameter estimation from, noisy biophysical recordingsQuentin J M Huys, Liam Paninski
Pageof 14

Showing results (11-20 of 138) with videos related to

Sort By:
Pageof 14
Journal of Neuroscience Methods|December 25, 2010
Kalman filter mixture model for spike sorting of non-stationary dataAna Calabrese, Liam Paninski
Journal of Computational Neuroscience|March 23, 2012
A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical dataYuriy Mishchenko, Liam Paninski
Network (Bristol, England)|December 9, 2010
Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methodsKamiar Rahnama Rad, Liam Paninski
Network (Bristol, England)|October 19, 2007
Common-input models for multiple neural spike-train dataJayant E Kulkarni, Liam Paninski
Journal of Computational Neuroscience|July 9, 2013
Fast inference in generalized linear models via expected log-likelihoodsAlexandro D Ramirez, Liam Paninski
Journal of Computational Neuroscience|August 24, 2011
Optimal experimental design for sampling voltage on dendritic trees in the low-SNR regimeJonathan Hunter Huggins, Liam Paninski
Progress in Brain Research|October 11, 2007
Statistical models for neural encoding, decoding, and optimal stimulus designLiam Paninski, Jonathan Pillow, Jeremy Lewi
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Efficient model-based design of neurophysiological experimentsJeremy Lewi, Robert Butera, Liam Paninski
Neural Computation|October 22, 2008
Sequential optimal design of neurophysiology experimentsJeremy Lewi, Robert Butera, Liam Paninski
Plos Computational Biology|May 9, 2009
Smoothing of, and parameter estimation from, noisy biophysical recordingsQuentin J M Huys, Liam Paninski
Pageof 14