| Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014 | 472 | 2014 |
| Not noisy, just wrong: the role of suboptimal inference in behavioral variability JM Beck, WJ Ma, X Pitkow, PE Latham, A Pouget Neuron 74 (1), 30-39, 2012 | 380 | 2012 |
| Skip connections eliminate singularities AE Orhan, X Pitkow arXiv preprint arXiv:1701.09175, 2017 | 234 | 2017 |
| Decorrelation and efficient coding by retinal ganglion cells X Pitkow, M Meister Nature neuroscience 15 (4), 628-635, 2012 | 214 | 2012 |
| Engineering a less artificial intelligence FH Sinz, X Pitkow, J Reimer, M Bethge, AS Tolias Neuron 103 (6), 967-979, 2019 | 136 | 2019 |
| How can single sensory neurons predict behavior? X Pitkow, S Liu, DE Angelaki, GC DeAngelis, A Pouget Neuron 87 (2), 411-423, 2015 | 132 | 2015 |
| Inception loops discover what excites neurons most using deep predictive models EY Walker, FH Sinz, E Cobos, T Muhammad, E Froudarakis, PG Fahey, ... Nature neuroscience 22 (12), 2060-2065, 2019 | 91 | 2019 |
| Reviving and improving recurrent back-propagation R Liao, Y Xiong, E Fetaya, L Zhang, KJ Yoon, X Pitkow, R Urtasun, ... International Conference on Machine Learning, 3082-3091, 2018 | 90 | 2018 |
| Inference in probabilistic graphical models by graph neural networks KJ Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ... 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 868-875, 2019 | 86 | 2019 |
| Inference in the brain: statistics flowing in redundant population codes X Pitkow, DE Angelaki Neuron 94 (5), 943-953, 2017 | 80 | 2017 |
| A neural computation for visual acuity in the presence of eye movements X Pitkow, H Sompolinsky, M Meister PLoS biology 5 (12), e331, 2007 | 61 | 2007 |
| Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, AL Bodor, D Brittain, ... BioRxiv, 2021.07. 28.454025, 2021 | 52 | 2021 |
| A dynamic Bayesian observer model reveals origins of bias in visual path integration KJ Lakshminarasimhan, M Petsalis, H Park, GC DeAngelis, X Pitkow, ... Neuron 99 (1), 194-206. e5, 2018 | 45 | 2018 |
| Stimulus domain transfer in recurrent models for large scale cortical population prediction on video F Sinz, AS Ecker, P Fahey, E Walker, E Cobos, E Froudarakis, D Yatsenko, ... Advances in neural information processing systems 31, 2018 | 36 | 2018 |
| A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons HGR Kim, X Pitkow, DE Angelaki, GC DeAngelis Journal of neurophysiology 116 (3), 1449-1467, 2016 | 35 | 2016 |
| Learning from brains how to regularize machines Z Li, W Brendel, E Walker, E Cobos, T Muhammad, J Reimer, M Bethge, ... Advances in neural information processing systems 32, 2019 | 34 | 2019 |
| Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion M Subramaniyan, AS Ecker, SS Patel, RJ Cotton, M Bethge, X Pitkow, ... Journal of Neurophysiology 120 (5), 2430-2452, 2018 | 28 | 2018 |
| Inference by reparameterization in neural population codes R Vasudeva Raju, Z Pitkow Advances in Neural Information Processing Systems 29, 2016 | 28 | 2016 |
| Exact feature probabilities in images with occlusion X Pitkow Journal of vision 10 (14), 42-42, 2010 | 27 | 2010 |
| Tracking the mind’s eye: Primate gaze behavior during virtual visuomotor navigation reflects belief dynamics KJ Lakshminarasimhan, E Avila, E Neyhart, GC DeAngelis, X Pitkow, ... Neuron 106 (4), 662-674. e5, 2020 | 25 | 2020 |
