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Arno Onken
Arno Onken
Подтвержден адрес электронной почты в домене inf.ed.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
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
2142018
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
812017
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
682009
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
602016
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
262020
Information estimation using nonparametric copulas
H Safaai, A Onken, CD Harvey, S Panzeri
Physical Review E 98 (5), 053302, 2018
222018
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
172016
Categorical encoding of decision variables in orbitofrontal cortex
A Onken, J Xie, S Panzeri, C Padoa-Schioppa
PLoS Computational Biology 15 (10), 2019
162019
Understanding neural population coding: Information theoretic insights from the auditory system
A Onken, PP Karunasekara, C Kayser, S Panzeri
Advances in Neuroscience 2014, 2014
162014
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
152016
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
142021
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
12*2021
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
122008
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, 2020
72020
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
72012
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
72009
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
52019
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
22022
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
22017
Neuronal learning analysis using cycle-consistent adversarial networks
BM Li, T Amvrosiadis, N Rochefort, A Onken
arXiv preprint arXiv:2111.13073, 2021
12021
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