Arno Onken 个人学术档案 - 学术资源搜索

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Stefano PanzeriUniversity Medical Center Hamburg-Eppendorf (UKE), and Istituto Italiano di Tecnologia在 uke.de 的电子邮件经过验证
Klaus ObermayerProfessor, Fakultät IV - Electrical Engineering and Computer Science, Technische Universität Berlin在 tu-berlin.de 的电子邮件经过验证
Jian K. LiuUniversity of Birmingham在 ucla.edu 的电子邮件经过验证
Steffen GrünewälderNewcastle University在 newcastle.ac.uk 的电子邮件经过验证
Ioannis DelisAssociate Professor, School of Biomedical Sciences, University of Leeds在 leeds.ac.uk 的电子邮件经过验证
Tim GollischUniversity Medical Center Göttingen在 med.uni-goettingen.de 的电子邮件经过验证
Matthias H. J. MunkPrivatdozent (Ass.Prof.) Neurophysiology, Univ. Hosp. Tübingen / Technical University Darmstadt在 uni-tuebingen.de 的电子邮件经过验证
Helene Marianne SchreyerPostdoctroal researcher在 iob.ch 的电子邮件经过验证
Chamanthi KarunasekaraSenior Lecturer, General Sir John Kotelawala Defence University在 kdu.ac.lk 的电子邮件经过验证
Houman SafaaiHarvard University在 hms.harvard.edu 的电子邮件经过验证
Shuzo SakataReader at University of Strathclyde在 strath.ac.uk 的电子邮件经过验证
Mohammad Hossein KhaniBotond Roska Lab, Institute of Molecular and Clinical Ophthalmology Basel (IOB))在 iob.ch 的电子邮件经过验证
Theoklitos AmvrosiadisPostdoctoral Researcher, University of Edinburgh/University of Cambridge在 sms.ed.ac.uk 的电子邮件经过验证
Manuel Molano-MazónIDIBAPS在 clinic.cat 的电子邮件经过验证
Nina KudryashovaUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Tomomi TsunematsuHokkaido University在 sci.hokudai.ac.jp 的电子邮件经过验证
Fernando RozenblitUniversity Medical Center Göttingen在 med.uni-goettingen.de 的电子邮件经过验证
Vidhyasankar KrishnamoorthyResearch Associate, Newcastle University, UK在 newcastle.ac.uk 的电子邮件经过验证
Bryan M. LiSchool of Informatics, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Yonghong TianProfessor, School of CS and School of ECE at Peking University, Pengcheng Laboratory, IEEE Fellow在 pku.edu.cn 的电子邮件经过验证

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Arno Onken

University of Edinburgh

在 inf.ed.ac.uk 的电子邮件经过验证 - 首页

Machine Learning Computational Neuroscience Information Theory Statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization JK Liu, HM Schreyer, A Onken, F Rozenblit, MH Khani, V Krishnamoorthy, ... Nature Communications 8 (1), 149, 2017	115*	2017
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains A Onken, JK Liu, PPCR Karunasekara, I Delis, T Gollisch, S Panzeri PLoS Computational Biology 12 (11), e1005189, 2016	71	2016
Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation A Onken, S Grünewälder, MHJ Munk, K Obermayer PLoS Computational Biology 5 (11), e1000577, 2009	68	2009
State-dependent brainstem ensemble dynamics and their interactions with hippocampus across sleep states T Tsunematsu, AA Patel, A Onken, S Sakata Elife 9, e52244, 2020	43	2020
Synthesizing realistic neural population activity patterns using generative adversarial networks M Molano-Mazon, A Onken, E Piasini, S Panzeri 6th International Conference on Learning Representations, ICLR 2018, 2018	35	2018
Information estimation using nonparametric copulas H Safaai, A Onken, CD Harvey, S Panzeri Physical Review E 98 (5), 053302, 2018	33	2018
Building population models for large-scale neural recordings: opportunities and pitfalls C Hurwitz, N Kudryashova, A Onken, MH Hennig Current Opinion in Neurobiology 70, 64-73, 2021	32	2021
Space-by-time decomposition for single-trial decoding of M/EEG activity I Delis, A Onken, PG Schyns, S Panzeri, MG Philiastides Neuroimage 133, 504-515, 2016	23	2016
Categorical encoding of decision variables in orbitofrontal cortex A Onken, J Xie, S Panzeri, C Padoa-Schioppa PLoS Computational Biology 15 (10), 2019	22	2019
Mixed vine copulas as joint models of spike counts and local field potentials A Onken, S Panzeri Advances In Neural Information Processing Systems 30, 1325-1333, 2016	19	2016
Neural system identification with spike-triggered non-negative matrix factorization S Jia, Z Yu, A Onken, Y Tian, T Huang, JK Liu IEEE Transactions on Cybernetics, 1-12, 2021	18*	2021
Understanding neural population coding: Information theoretic insights from the auditory system A Onken, PPCR Karunasekara, C Kayser, S Panzeri Advances in Neuroscience 2014 (1), 907851, 2014	17	2014
Modeling short-term noise dependence of spike counts in macaque prefrontal cortex A Onken, S Grünewälder, M Munk, K Obermayer Advances in Neural Information Processing Systems 21, 1233-1240, 2008	13	2008
Calciumgan: a generative adversarial network model for synthesising realistic calcium imaging data of neuronal populations BM Li, T Amvrosiadis, N Rochefort, A Onken arXiv preprint arXiv:2009.02707 10, 2020	9	2020
A maximum entropy test for evaluating higher-order correlations in spike counts A Onken, V Dragoi, K Obermayer PLoS Computational Biology 8 (6), e1002539, 2012	8	2012
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification B Breier, A Onken 8th International Conference on Learning Representations, ICLR 2020, 2019	7	2019
A Frank mixture copula family for modeling higher-order correlations of neural spike counts A Onken, K Obermayer Journal of Physics: Conference Series 197 (1), 012019, 2009	7	2009
V1T: large-scale mouse V1 response prediction using a Vision Transformer BM Li, IM Cornacchia, NL Rochefort, A Onken Transactions on Machine Learning Research, 2023	3	2023
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships N Kudryashova, T Amvrosiadis, N Dupuy, N Rochefort, A Onken PLoS Computational Biology 18 (1), 1-30, 2022	3	2022
Space-by-time tensor decomposition for single-trial analysis of neural signals I Delis, A Onken, S Panzeri Mathematical and Theoretical Neuroscience: Cell, Network and Data Analysis …, 2017	3	2017

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