Jonathan W. Pillow, Ph.D. - Publications

Affiliations: 
Princeton Neuroscience Institute Princeton University, Princeton, NJ 
Area:
Computational Neuroscience, Vision
Website:
http://pillowlab.princeton.edu/

63 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Panichello MF, DePasquale B, Pillow JW, Buschman TJ. Error-correcting dynamics in visual working memory. Nature Communications. 10: 3366. PMID 31358740 DOI: 10.1038/s41467-019-11298-3  0.36
2019 Zoltowski DM, Latimer KW, Yates JL, Huk AC, Pillow JW. Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making. Neuron. PMID 31130330 DOI: 10.1016/j.neuron.2019.04.031  1
2018 Aoi MC, Pillow JW. Model-based targeted dimensionality reduction for neuronal population data. Advances in Neural Information Processing Systems. 31: 6690-6699. PMID 31274967  1
2018 Roy NA, Bak JH, Akrami A, Brody CD, Pillow JW. Efficient inference for time-varying behavior during learning. Advances in Neural Information Processing Systems. 31: 5695-5705. PMID 31244514  1
2018 Zoltowski DM, Pillow JW. Scaling the Poisson GLM to massive neural datasets through polynomial approximations. Advances in Neural Information Processing Systems. 31: 3517-3527. PMID 31244513  0.8
2018 Bak JH, Pillow JW. Adaptive stimulus selection for multi-alternative psychometric functions with lapses. Journal of Vision. 18: 4. PMID 30458512 DOI: 10.1167/18.12.4  1
2018 Knöll J, Pillow JW, Huk AC. Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral context. Proceedings of the National Academy of Sciences of the United States of America. PMID 30322919 DOI: 10.1073/pnas.1807192115  1
2018 Charles AS, Park M, Weller JP, Horwitz GD, Pillow JW. Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability. Neural Computation. 1-34. PMID 29381442 DOI: 10.1162/neco_a_01062  1
2017 Wu A, Roy NA, Keeley S, Pillow JW. Gaussian process based nonlinear latent structure discovery in multivariate spike train data. Advances in Neural Information Processing Systems. 30: 3496-3505. PMID 31244512  1
2017 Murugan M, Jang HJ, Park M, Miller EM, Cox J, Taliaferro JP, Parker NF, Bhave V, Hur H, Liang Y, Nectow AR, Pillow JW, Witten IB. Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex. Cell. 171: 1663-1677.e16. PMID 29224779 DOI: 10.1016/j.cell.2017.11.002  1
2017 Pillow JW, Aoi MC. Is population activity more than the sum of its parts? Nature Neuroscience. 20: 1196-1198. PMID 28849790 DOI: 10.1038/nn.4627  1
2017 Yates JL, Park IM, Katz LN, Pillow JW, Huk AC. Functional dissection of signal and noise in MT and LIP during decision-making. Nature Neuroscience. PMID 28758998 DOI: 10.1038/nn.4611  1
2017 Song A, Charles AS, Koay SA, Gauthier JL, Thiberge SY, Pillow JW, Tank DW. Volumetric two-photon imaging of neurons using stereoscopy (vTwINS). Nature Methods. PMID 28319111 DOI: 10.1038/nmeth.4226  1
2016 Katz LN, Yates JL, Pillow JW, Huk AC. Dissociated functional significance of decision-related activity in the primate dorsal stream. Nature. PMID 27376476 DOI: 10.1038/nature18617  1
2016 Latimer KW, Yates JL, Meister ML, Huk AC, Pillow JW. Response to Comment on "Single-trial spike trains in parietal cortex reveal discrete steps during decision-making". Science (New York, N.Y.). 351: 1406. PMID 27013724 DOI: 10.1126/science.aad3596  1
2015 Pillow JW. Explaining the especially pink elephant. Nature Neuroscience. 18: 1435-6. PMID 26404720 DOI: 10.1038/nn.4122  1
2015 Latimer KW, Yates JL, Meister ML, Huk AC, Pillow JW. Single-trial spike trains in parietal cortex reveal discrete steps during decision-making. Science (New York, N.Y.). 349: 184-187. PMID 26160947 DOI: 10.1126/science.aaa4056  1
2015 Williamson RS, Sahani M, Pillow JW. The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction. Plos Computational Biology. 11: e1004141. PMID 25831448 DOI: 10.1371/journal.pcbi.1004141  1
2015 Bonnen K, Burge J, Yates J, Pillow J, Cormack LK. Continuous psychophysics: Target-tracking to measure visual sensitivity. Journal of Vision. 15. PMID 25795437 DOI: 10.1167/15.3.14  1
2015 Latimer KW, Huk AC, Pillow JW. Bayesian inference for latent stepping and ramping models of spike train data Advanced State Space Methods For Neural and Clinical Data. 160-185. DOI: 10.1017/CBO9781139941433.008  1
2015 Wu A, Park IM, Pillow JW. Convolutional spike-triggered covariance analysis for neural subunit models Advances in Neural Information Processing Systems. 2015: 793-801.  1
2014 Knudson KC, Yates JL, Huk AC, Pillow J. Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit. Advances in Neural Information Processing Systems. 27. PMID 25914512  1
2014 Park IM, Meister ML, Huk AC, Pillow JW. Encoding and decoding in parietal cortex during sensorimotor decision-making. Nature Neuroscience. 17: 1395-403. PMID 25174005 DOI: 10.1038/nn.3800  1
2014 Park M, Weller JP, Horwitz GD, Pillow JW. Bayesian active learning of neural firing rate maps with transformed gaussian process priors. Neural Computation. 26: 1519-41. PMID 24877730 DOI: 10.1162/NECO_a_00615  1
2014 Archer E, Park IM, Pillow JW. Bayesian entropy estimation for countable discrete distributions Journal of Machine Learning Research. 15: 2833-2868.  1
2014 Wu A, Park M, Koyejo O, Pillow JW. Sparse Bayesian structure learning with dependent relevance determination prior Advances in Neural Information Processing Systems. 2: 1628-1636.  1
2014 Grabska-Barwińska A, Pillow JW. Optimal prior-dependent neural population codes under shared input noise Advances in Neural Information Processing Systems. 3: 1880-1888.  1
2014 Latimer KW, Chichilnisky EJ, Rieke F, Pillow JW. Inferring synaptic conductances from spike trains under a biophysically inspired point process model Advances in Neural Information Processing Systems. 2: 954-962.  1
2014 Archer E, Köster U, Pillow J, Macke JH. Low-dimensional models of neural population activity in sensory cortical circuits Advances in Neural Information Processing Systems. 1: 343-351.  1
2013 Pillow JW, Shlens J, Chichilnisky EJ, Simoncelli EP. A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings. Plos One. 8: e62123. PMID 23671583 DOI: 10.1371/journal.pone.0062123  1
2013 Archer E, Park IM, Pillow JW. Bayesian and quasi-Bayesian estimators for mutual information from discrete data Entropy. 15: 1738-1755. DOI: 10.3390/e15051738  1
2013 Park M, Pillow JW. Bayesian inference for low rank spatiotemporal neural receptive fields Advances in Neural Information Processing Systems 1
2013 Knudson K, Pillow JW. Spike train entropy-rate estimation using hierarchical Dirichlet process priors Advances in Neural Information Processing Systems 1
2013 Park IM, Archer E, Priebe N, Pillow JW. Spectral methods for neural characterization using generalized quadratic models Advances in Neural Information Processing Systems 1
2013 Park IM, Archer E, Latimer K, Pillow JW. Universal models for binary spike patterns using centered Dirichlet processes Advances in Neural Information Processing Systems 1
2013 Archer E, Park IM, Pillow JW. Bayesian entropy estimation for binary spike train data using parametric prior knowledge Advances in Neural Information Processing Systems 1
2013 Park M, Koyejo O, Ghosh J, Poldrack RA, Pillow JW. Bayesian structure learning for functional neuroimaging Journal of Machine Learning Research. 31: 489-497.  1
2012 Vidne M, Ahmadian Y, Shlens J, Pillow JW, Kulkarni J, Litke AM, Chichilnisky EJ, Simoncelli E, Paninski L. Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. Journal of Computational Neuroscience. 33: 97-121. PMID 22203465 DOI: 10.1007/s10827-011-0376-2  1
2012 Archer E, Park IM, Pillow JW. Bayesian estimation of discrete entropy with mixtures of stick-breaking priors Advances in Neural Information Processing Systems. 3: 2015-2023.  1
2012 Pillow JW, Scott JG. Fully Bayesian inference for neural models with negative-binomial spiking Advances in Neural Information Processing Systems. 3: 1898-1906.  1
2012 Park M, Pillow JW. Bayesian active learning with localized priors for fast receptive field characterization Advances in Neural Information Processing Systems. 3: 2348-2356.  1
2011 Histed MH, Pillow JW. The 8th annual computational and systems neuroscience (Cosyne) meeting. Neural Systems & Circuits. 1: 8. PMID 22330306 DOI: 10.1186/2042-1001-1-8  0.08
2011 Park M, Pillow JW. Receptive field inference with localized priors. Plos Computational Biology. 7: e1002219. PMID 22046110 DOI: 10.1371/journal.pcbi.1002219  1
2011 Ahmadian Y, Pillow JW, Paninski L. Efficient Markov chain Monte Carlo methods for decoding neural spike trains. Neural Computation. 23: 46-96. PMID 20964539 DOI: 10.1162/NECO_a_00059  1
2011 Pillow JW, Ahmadian Y, Paninski L. Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains. Neural Computation. 23: 1-45. PMID 20964538 DOI: 10.1162/NECO_a_00058  1
2011 Park M, Horwitz G, Pillow JW. Active learning of neural response functions with Gaussian processes Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Park IM, Pillow JW. Bayesian spike-triggered covariance analysis Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2010 Nirenberg S, Bomash I, Pillow JW, Victor JD. Heterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptation. Journal of Neurophysiology. 103: 3184-94. PMID 20357061 DOI: 10.1152/jn.00878.2009  1
2009 Pillow JW. Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1473-1481.  1
2009 Pillow JW, Latham P. Neural characterization in partially observed populations of spiking neurons Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Berkes P, Wood F, Pillow J. Characterizing neural dependencies with copula models Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 129-136.  1
2008 Pillow JW, Shlens J, Paninski L, Sher A, Litke AM, Chichilnisky EJ, Simoncelli EP. Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature. 454: 995-9. PMID 18650810 DOI: 10.1038/nature07140  1
2008 Goodhill G, Baker C, Balasubramanian V, Bazhenov M, Beck J, Becker S, Bethge M, Boahen K, Boden M, Bonin V, Bouret S, Fairhall A, Flash T, French R, Gillies A, ... ... Pillow J, et al. Network: Computation in Neural Systems: Editorial Network: Computation in Neural Systems. 19: 1-2. DOI: 10.1080/09548980801915409  1
2007 Paninski L, Pillow J, Lewi J. Statistical models for neural encoding, decoding, and optimal stimulus design. Progress in Brain Research. 165: 493-507. PMID 17925266 DOI: 10.1016/S0079-6123(06)65031-0  1
2006 Schwartz O, Pillow JW, Rust NC, Simoncelli EP. Spike-triggered neural characterization. Journal of Vision. 6: 484-507. PMID 16889482 DOI: 10.1167/6.4.13  1
2006 Pillow JW, Simoncelli EP. Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis. Journal of Vision. 6: 414-28. PMID 16889478 DOI: 10.1167/6.4.9  1
2005 Pillow JW, Paninski L, Uzzell VJ, Simoncelli EP, Chichilnisky EJ. Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 11003-13. PMID 16306413 DOI: 10.1523/JNEUROSCI.3305-05.2005  1
2005 Paninski L, Pillow J, Simoncelli E. Comparing integrate-and-fire models estimated using intracellular and extracellular data Neurocomputing. 65: 379-385. DOI: 10.1016/j.neucom.2004.10.032  1
2004 Paninski L, Pillow JW, Simoncelli EP. Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Computation. 16: 2533-61. PMID 15516273 DOI: 10.1162/0899766042321797  1
2004 Pillow JW, Paninski L, Simoncelli EP. Maximum likelihood estimation of a stochastic integrate-and-fire neural model Advances in Neural Information Processing Systems 1
2003 Pillow JW, Simoncelli EP. Biases in white noise analysis due to non-Poisson spike generation Neurocomputing. 52: 109-115. DOI: 10.1016/S0925-2312(02)00822-6  1
2002 Pillow J, Rubin N. Perceptual completion across the vertical meridian and the role of early visual cortex. Neuron. 33: 805-13. PMID 11879656 DOI: 10.1016/S0896-6273(02)00605-0  1
2000 Zemel RS, Pillow J. Encoding multiple orientations in a recurrent network Neurocomputing. 32: 609-616. DOI: 10.1016/S0925-2312(00)00222-8  1
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