Shy Shoham

Michael Krumin, Shy Shoham: Multivariate Autoregressive Modeling and Granger Causality Analysis of Multiple Spike Trains. Comp. Int. and Neurosc. 2010 (2010)

Michael Krumin, Avner Shimron, Shy Shoham: Correlation-distortion based identification of Linear-Nonlinear-Poisson models. Journal of Computational Neuroscience 29(1-2): 301-308 (2010)

Michael Krumin, Shy Shoham: Generation of Spike Trains with Controlled Auto- and Cross-Correlation Functions. Neural Computation 21(6): 1642-1664 (2009)

Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. Eldar: A neural network implementing optimal state estimation based on dynamic spike train decoding. NIPS 2007

Shy Shoham, Liam Paninski, Matthew Fellows, Nicholas G. Hatsopoulos, John P. Donoghue, Richard A. Normann: Statistical encoding model for a primary motor cortical brain-machine interface. IEEE Trans. Biomed. Engineering 52(7): 1312-1322 (2005)

Shy Shoham: Robust clustering by deterministic agglomeration EM of mixtures of multivariate t-distributions. Pattern Recognition 35(5): 1127-1142 (2002)

Yun Gao, Michael J. Black, Elie Bienenstock, Shy Shoham, John P. Donoghue: Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex. NIPS 2001: 213-220

Shy Shoham, Remus Osan, Josef Ammermüller, Almut Branner, Eduardo Fernández, Richard A. Normann: The Classification of Spatial, Chromatic, and Intensity Features of Simple Visual Stimuli by a Network of Retinal Ganglion Cells. IWANN 1997: 44-53