| Year |
Citation |
Score |
| 2021 |
Roy NA, Bak JH, Akrami A, Brody CD, Pillow JW. Extracting the dynamics of behavior in sensory decision-making experiments. Neuron. PMID 33412101 DOI: 10.1016/j.neuron.2020.12.004 |
0.96 |
|
| 2020 |
Keeley SL, Zoltowski DM, Aoi MC, Pillow JW. Modeling statistical dependencies in multi-region spike train data. Current Opinion in Neurobiology. PMID 33334641 DOI: 10.1016/j.conb.2020.11.005 |
1 |
|
| 2020 |
Aoi MC, Mante V, Pillow JW. Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making. Nature Neuroscience. PMID 33020653 DOI: 10.1038/s41593-020-0696-5 |
1 |
|
| 2019 |
Yates JL, Katz LN, Levi AJ, Pillow JW, Huk A. A simple linear readout of MT supports motion direction-discrimination performance. Journal of Neurophysiology. PMID 31852399 DOI: 10.1152/jn.00117.2019 |
1 |
|
| 2019 |
Latimer KW, Rieke F, Pillow JW. Inferring synaptic inputs from spikes with a conductance-based neural encoding model. Elife. 8. PMID 31850846 DOI: 10.7554/eLife.47012 |
1 |
|
| 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 |
0.96 |
|
| 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 |
1 |
|
| 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 |
0.92 |
|
| 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 |
Rokers B, Fulvio JM, Pillow JW, Cooper EA. Systematic misperceptions of 3-D motion explained by Bayesian inference. Journal of Vision. 18: 23. PMID 29677339 DOI: 10.1167/18.3.23 |
0.56 |
|
| 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 |
0.96 |
|
| 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 |
0.96 |
|
| 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 |
0.04 |
|
| 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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