Jonathan William Pillow

Park, M. & Pillow, J.W. (2011). Receptive field inference with localized priors. PLoS Computational Biology (accepted) [abstract]

Histed MH & Pillow JW (2011). The 8th annual computational and systems neuroscience (Cosyne) meeting. Neural Systems & Circuits 1:8. (Invited meeting review)
download

Pillow, J.W., Ahmadian Y., & Paninski, L. (2011). Model-based decoding, information estimation, and change-point detection techniques for multi-neuron spike trains. Neural Computation 23:1-45. [abstract |
download

Ahmadian, Y., Pillow, J.W. & Paninski, L. (2011). Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains. Neural Computation 23:46-96 [abstract]
download

Nirenberg, S., Bomash, I., Pillow, J.W. & Victor, J.D. (2010) Heterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptation. J Neurophysiol 103: 3184-3194. [abstract]
Link

Pillow, J.W. (2009). Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models. Advances in Neural Information Processing Systems 22 eds. Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta. MIT Press. 1473-1481.  [abstract]
download

Berkes, P., Wood, F. & Pillow, J. (2009, September) Characterizing neural dependencies with copula models. Advances in Neural Information Processing Systems, 21, 129-136.
download

Pillow, J., Shlens, J., Paninski, L., Sher, A., Litke, A., Chichilnisky, E. & Simoncelli, E. (2008, September) Spatio-temporal correlations and visual signaling in a complete neuronal population. Nature, 454, 995-999.
download

Pillow, J. & Latham, P. (2008, September) Neural characterization in partially observed populations of spiking neurons. Advances in Neural Information Processing Systems, 20.
download

Pillow, J. (2007) Likelihood-based modeling of neural responses. In K. Doya, S. Ishii, A. Pouget & R. Rao (Eds.), Bayesian Brain: Probabilistic Approaches to Neural Coding (pp.53-70). MIT Press.
download

Paninski, L., Pillow, J. & Lewi, J. (2007) Statistical models for neural encoding, decoding, and optimal stimulus design. In P. Cisek, T. Drew & J. Kalaska (Eds.), Computational Neuroscience: Theoretical Insights Into Brain Function. .
download

Pillow, J. & Simoncelli, E. (2006, September) Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis. Journal of Vision, 6(4), 414-428.
download

Schwartz, O., Pillow, J., Rust, N. & Simoncelli, E. (2006, September) Spike-triggered neural characterization. Journal of Vision, 6(4), 484-507.
download

Pillow, J., Paninski, L., Uzzell, V., Simoncelli, E. & Chichilnisky, E. (2005, September) Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model. J. Neurosci., 25, 11003-11013.

Simoncelli, E., Paninski, L., Pillow, J. & Schwartz, O. (2004) Characterization of neural responses with stochastic stimuli. In M. Gazzaniga (Ed.), The Cognitive Neurosciences, 3rd edition (pp.327-338). MIT Press.

Pillow, J., Paninski, L. & Simoncelli, E. (2004, September) Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Computation, 16, 2533-2561.

Paninski, L., Pillow, J. & Simoncelli, E. (2004, September) Comparing integrate-and-fire-like models given intracellular and extracellular data. Neurocomputing, 65, 379-385.

Pillow, J., Paninski, L. & Simoncelli, E. (2004) Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. In S. Thrun, L. Saul & B. Scholkopf (Eds.), Advances in Neural Information Processing Systems. MIT Press.

Pillow, J.W. & Rubin N. (2002). Perceptual Completion across the Vertical Meridian and the Role of Early Visual Cortex. Neuron 33(5):805-13.
download