| Neuronal dynamics: From single neurons to networks and models of cognition W Gerstner, WM Kistler, R Naud, L Paninski Cambridge University Press, 2014 | 2068 | 2014 |
| Instant neural control of a movement signal MD Serruya, NG Hatsopoulos, L Paninski, MR Fellows, JP Donoghue Nature 416 (6877), 141-142, 2002 | 1784 | 2002 |
| Estimation of entropy and mutual information L Paninski Neural computation 15 (6), 1191-1253, 2003 | 1742 | 2003 |
| Spatio-temporal correlations and visual signalling in a complete neuronal population JW Pillow, J Shlens, L Paninski, A Sher, AM Litke, EJ Chichilnisky, ... Nature 454 (7207), 995-999, 2008 | 1631 | 2008 |
| Simultaneous denoising, deconvolution, and demixing of calcium imaging data EA Pnevmatikakis, D Soudry, Y Gao, TA Machado, J Merel, D Pfau, ... Neuron 89 (2), 285-299, 2016 | 1033 | 2016 |
| Maximum likelihood estimation of cascade point-process neural encoding models L Paninski Network: Computation in Neural Systems 15 (4), 243, 2004 | 640 | 2004 |
| Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data P Zhou, SL Resendez, J Rodriguez-Romaguera, JC Jimenez, SQ Neufeld, ... elife 7, e28728, 2018 | 589 | 2018 |
| Anxiety cells in a hippocampal-hypothalamic circuit JC Jimenez, K Su, AR Goldberg, VM Luna, JS Biane, G Ordek, P Zhou, ... Neuron 97 (3), 670-683. e6, 2018 | 537 | 2018 |
| Fast nonnegative deconvolution for spike train inference from population calcium imaging JT Vogelstein, AM Packer, TA Machado, T Sippy, B Babadi, R Yuste, ... Journal of neurophysiology 104 (6), 3691-3704, 2010 | 514 | 2010 |
| Fast online deconvolution of calcium imaging data J Friedrich, P Zhou, L Paninski PLoS computational biology 13 (3), e1005423, 2017 | 484 | 2017 |
| Spatiotemporal tuning of motor cortical neurons for hand position and velocity L Paninski, MR Fellows, NG Hatsopoulos, JP Donoghue Journal of neurophysiology 91 (1), 515-532, 2004 | 458 | 2004 |
| Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model JW Pillow, L Paninski, VJ Uzzell, EP Simoncelli, EJ Chichilnisky Journal of Neuroscience 25 (47), 11003-11013, 2005 | 452 | 2005 |
| Bright and photostable chemigenetic indicators for extended in vivo voltage imaging AS Abdelfattah, T Kawashima, A Singh, O Novak, H Liu, Y Shuai, ... Science 365 (6454), 699-704, 2019 | 433 | 2019 |
| Functional connectivity in the retina at the resolution of photoreceptors GD Field, JL Gauthier, A Sher, M Greschner, TA Machado, LH Jepson, ... Nature 467 (7316), 673-677, 2010 | 393 | 2010 |
| Characterization of neural responses with stochastic stimuli EP Simoncelli, L Paninski, J Pillow, O Schwartz The cognitive neurosciences 3 (327-338), 1, 2004 | 385 | 2004 |
| Maximum likelihood estimation of a stochastic integrate-and-fire neural model L Paninski, E Simoncelli, J Pillow Advances in Neural Information Processing Systems 16, 2003 | 370 | 2003 |
| Statistical models for neural encoding, decoding, and optimal stimulus design L Paninski, J Pillow, J Lewi Progress in brain research 165, 493-507, 2007 | 328 | 2007 |
| Voltage imaging and optogenetics reveal behaviour-dependent changes in hippocampal dynamics Y Adam, JJ Kim, S Lou, Y Zhao, ME Xie, D Brinks, H Wu, ... Nature 569 (7756), 413-417, 2019 | 321 | 2019 |
| Information about movement direction obtained from synchronous activity of motor cortical neurons NG Hatsopoulos, CL Ojakangas, L Paninski, JP Donoghue Proceedings of the National Academy of Sciences 95 (26), 15706-15711, 1998 | 319 | 1998 |
| The spatiotemporal organization of the striatum encodes action space A Klaus, GJ Martins, VB Paixao, P Zhou, L Paninski, RM Costa Neuron 95 (5), 1171-1180. e7, 2017 | 307 | 2017 |
E.J. ChichilniskyProfessor of Neurosurgery and Ophthalmology, Stanford University在 stanford.edu 的电子邮件经过验证
