Xaq Pitkow

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Andreas ToliasStanford UniversityE-mail confirmado em stanford.edu
Dora E AngelakiProfessorE-mail confirmado em nyu.edu
Fabian SinzProfessor for Machine Learning, University GöttingenE-mail confirmado em cs.uni-goettingen.de
Jacob ReimerAssistant Professor, Baylor College of MedicineE-mail confirmado em bcm.edu
Alexander S. EckerUniversity of Göttingen, GermanyE-mail confirmado em cs.uni-goettingen.de
Alexandre PougetUniversity of GenevaE-mail confirmado em unige.ch
Taliah MuhammadBaylor College of MedicineE-mail confirmado em bcm.edu
Jeff BeckDuke UniversityE-mail confirmado em duke.edu
Paul SchraterUniversity of MinnesotaE-mail confirmado em umn.edu
Erick CobosMax Planck Institute for Intelligent SystemsE-mail confirmado em tuebingen.mpg.de
Edgar Y. WalkerWeill Neurohub Assistant Professor, Physiology & Biophysics, Computational Neuroscience CenterE-mail confirmado em uw.edu
Richard ZemelProfessor of Computer Science, University of TorontoE-mail confirmado em cs.toronto.edu
Matthias BethgeTübingen University & Maddox Co-FounderE-mail confirmado em bethgelab.org
Gregory C. DeAngelisProfessor of Brain and Cognitive Sciences, University of RochesterE-mail confirmado em cvs.rochester.edu
peter lathamProfessor, Gatsby Computational Neuroscience Unit, UCLE-mail confirmado em gatsby.ucl.ac.uk
Kijung YoonHanyang UniversityE-mail confirmado em hanyang.ac.kr
Markus MeisterCalifornia Institute of TechnologyE-mail confirmado em caltech.edu
Emmanouil Froudarakis, Ph.D.Assistant Professor of Neurophysiology, UoCE-mail confirmado em imbb.forth.gr
Zhe LiStanford UniversityE-mail confirmado em stanford.edu
Zhengwei WuRice University/Baylor College of MedicineE-mail confirmado em bcm.edu

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Xaq Pitkow

Outros nomesZachary Pitkow

Associate Professor of Computational Neuroscience, Carnegie Mellon University

E-mail confirmado em rice.edu - Página inicial

Computational Neuroscience Theoretical Neuroscience Machine Learning Control Theory


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014	592	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	441	2012
Skip connections eliminate singularities AE Orhan, X Pitkow arXiv preprint arXiv:1701.09175, 2017	332	2017
Decorrelation and efficient coding by retinal ganglion cells X Pitkow, M Meister Nature neuroscience 15 (4), 628-635, 2012	255	2012
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	212	2019
Engineering a less artificial intelligence FH Sinz, X Pitkow, J Reimer, M Bethge, AS Tolias Neuron 103 (6), 967-979, 2019	206	2019
Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ... BioRxiv, 2021.07. 28.454025, 2021	172	2021
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	146	2018
How can single sensory neurons predict behavior? X Pitkow, S Liu, DE Angelaki, GC DeAngelis, A Pouget Neuron 87 (2), 411-423, 2015	145	2015
Inference in the brain: statistics flowing in redundant population codes X Pitkow, DE Angelaki Neuron 94 (5), 943-953, 2017	122	2017
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	119	2019
A neural computation for visual acuity in the presence of eye movements X Pitkow, H Sompolinsky, M Meister PLoS biology 5 (12), e331, 2007	75	2007
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	66	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	66	2018
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	64	2019
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	49	2020
Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex CM Schneider-Mizell, AL Bodor, D Brittain, JA Buchanan, DJ Bumbarger, ... bioRxiv, 2023.01. 23.525290, 2024	43	2024
Inverse rational control with partially observable continuous nonlinear dynamics M Kwon, S Daptardar, PR Schrater, X Pitkow Advances in neural information processing systems 33, 7898-7909, 2020	39	2020
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	38	2018
Petascale neural circuit reconstruction: automated methods T Macrina, K Lee, R Lu, NL Turner, J Wu, S Popovych, W Silversmith, ... bioRxiv, 2021.08. 04.455162, 2021	37	2021

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