Jonathan Pillow - researchr alias

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Viewing Publication 1 - 9 from 9

2011

Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike TrainsYashar Ahmadian, Jonathan Pillow, Liam Paninski. neco, 23(1):46-96, 2011. [doi]

Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike TrainsJonathan Pillow, Yashar Ahmadian, Liam Paninski. neco, 23(1):1-45, 2011. [doi]

2008

Characterizing neural dependencies with copula modelsPietro Berkes, Frank Wood, Jonathan Pillow. nips 2009: 129-136 [doi]

2007

Neural characterization in partially observed populations of spiking neuronsJonathan Pillow, Peter E. Latham. nips 2008: 1161-1168 [doi]

2005

Comparing integrate-and-fire models estimated using intracellular and extracellular dataLiam Paninski, Jonathan Pillow, Eero P. Simoncelli. ijon, 65-66:379-385, 2005. [doi]

2004

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding ModelLiam Paninski, Jonathan Pillow, Eero P. Simoncelli. neco, 16(12):2533-2561, 2004. [doi]

2003

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural ModelJonathan Pillow, Liam Paninski, Eero P. Simoncelli. nips 2004: 1311-1318 [doi]

Biases in white noise analysis due to non-Poisson spike generationJonathan Pillow, Eero P. Simoncelli. ijon, 52-54:109-115, 2003. [doi]

2000

Encoding multiple orientations in a recurrent networkRichard S. Zemel, Jonathan Pillow. ijon, 32-33:609-616, 2000. [doi]

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