Arno Onken

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Stefano PanzeriUniversity Medical Center Hamburg-Eppendorf (UKE), and Istituto Italiano di TecnologiaVerified email at uke.de
Klaus ObermayerProfessor, Fakultät IV - Electrical Engineering and Computer Science, Technische Universität BerlinVerified email at tu-berlin.de
Steffen GrünewälderUniversity of YorkVerified email at york.ac.uk
Ioannis DelisAssociate Professor, School of Biomedical Sciences, University of LeedsVerified email at leeds.ac.uk
Jian K. LiuUniversity of BirminghamVerified email at ucla.edu
Tim GollischUniversity Medical Center GöttingenVerified email at med.uni-goettingen.de
Matthias H. J. MunkPrivatdozent (Ass.Prof.) Neurophysiology, Univ. Hosp. Tübingen / Technical University DarmstadtVerified email at uni-tuebingen.de
Helene Marianne SchreyerPostdoctroal researcherVerified email at iob.ch
Shuzo SakataProfessor at University of StrathclydeVerified email at strath.ac.uk
Nina KudryashovaUniversity of EdinburghVerified email at ed.ac.uk
Chamanthi KarunasekaraSenior Lecturer, General Sir John Kotelawala Defence UniversityVerified email at kdu.ac.lk
Houman SafaaiKempner Institute at Harvard UniversityVerified email at harvard.edu
Tomomi TsunematsuHokkaido UniversityVerified email at sci.hokudai.ac.jp
Mohammad Hossein KhaniBotond Roska Lab, Institute of Molecular and Clinical Ophthalmology Basel (IOB))Verified email at iob.ch
Theoklitos AmvrosiadisPostdoctoral Researcher, University of Edinburgh/University of CambridgeVerified email at sms.ed.ac.uk
Bryan M. LiSchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Fernando RozenblitUniversity Medical Center GöttingenVerified email at med.uni-goettingen.de
Vidhyasankar KrishnamoorthyResearch Associate, Newcastle University, UKVerified email at newcastle.ac.uk
Matthias HennigUniversity of EdinburghVerified email at ed.ac.uk
Tiejun HuangProfessor,School of EE&CS, Peking UniversityVerified email at pku.edu.cn

Arno Onken

University of Edinburgh

Verified email at inf.ed.ac.uk - Homepage

Machine Learning Computational Neuroscience Information Theory Statistics


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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	124*	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	78	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	45	2020
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	40	2021
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	39	2018
Information estimation using nonparametric copulas H Safaai, A Onken, CD Harvey, S Panzeri Physical Review E 98 (5), 053302, 2018	35	2018
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	28	2016
Categorical encoding of decision variables in orbitofrontal cortex A Onken, J Xie, S Panzeri, C Padoa-Schioppa PLoS Computational Biology 15 (10), 2019	23	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	20	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	19*	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	9	2012
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	9	2009
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	8	2019
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	6	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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