Dominik Endres
Dominik Endres
Theoretical Cognitive Science Group, Dept. Psychology, Philipps-University Marburg
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Citata da
Citata da
A new metric for probability distributions
DM Endres, JE Schindelin
IEEE Transactions on Information theory 49 (7), 1858-1860, 2003
Sparse coding
P Foldiak, DM Endres
Overtone-based pitch selection in hermit thrush song: Unexpected convergence with scale construction in human music
EL Doolittle, B Gingras, DM Endres, WT Fitch
Proceedings of the National Academy of Sciences 111 (46), 16616-16621, 2014
Bayesian bin distribution inference and mutual information
D Endres, P Foldiak
IEEE Transactions on Information Theory 51 (11), 3766-3779, 2005
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
DM Endres, MW Oram, JE Schindelin, P Foldiak
Advances in neural information processing systems 20, 2008
An application of formal concept analysis to semantic neural decoding
DM Endres, P Földiák, U Priss
Annals of Mathematics and Artificial Intelligence 57 (3), 233-248, 2009
Why harmless sensations might hurt in individuals with chronic pain: about heightened prediction and perception of pain in the mind
T Hechler, D Endres, A Thorwart
Frontiers in psychology 7, 1638, 2016
Online simulation of emotional interactive behaviors with hierarchical gaussian process dynamical models
N Taubert, A Christensen, D Endres, MA Giese
Proceedings of the ACM Symposium on Applied Perception, 25-32, 2012
Cocomopl: A novel approach for humanoid walking generation combining optimal control, movement primitives and learning and its transfer to the real robot HRP-2
D Clever, M Harant, K Mombaur, M Naveau, O Stasse, D Endres
IEEE Robotics and Automation Letters 2 (2), 977-984, 2017
Feature extraction from spike trains with Bayesian binning:‘Latency is where the signal starts’
D Endres, M Oram
Journal of Computational Neuroscience 29 (1), 149-169, 2010
Segmenting sign language into motor primitives with Bayesian binning
DM Endres, Y Meirovitch, T Flash, MA Giese
Frontiers in computational neuroscience 7, 68, 2013
Model selection for the extraction of movement primitives
DM Endres, E Chiovetto, M Giese
Frontiers in computational neuroscience 7, 185, 2013
A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives
D Clever, M Harant, H Koch, K Mombaur, D Endres
Robotics and Autonomous Systems 83, 287-298, 2016
Understanding the semantic structure of human fMRI brain recordings with formal concept analysis
D Endres, R Adam, MA Giese, U Noppeney
International Conference on Formal Concept Analysis, 96-111, 2012
Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal
M Junker, D Endres, ZP Sun, PW Dicke, M Giese, P Thier
PLoS biology 16 (8), e2004344, 2018
Bayesian and information-theoretic tools for neuroscience
DM Endres
University of St Andrews, 2006
Detection and evaluation of spatio-temporal spike patterns in massively parallel spike train data with spade
P Quaglio, A Yegenoglu, E Torre, DM Endres, S Grün
Frontiers in computational neuroscience 11, 41, 2017
Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking
KH Koch, D Clever, K Mombaur, D Endres
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
Emulating human observers with Bayesian binning: segmentation of action streams
D Endres, A Christensen, L Omlor, MA Giese
ACM Transactions on Applied Perception (TAP) 8 (3), 1-12, 2011
A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models
N Taubert, M Löffler, N Ludolph, A Christensen, D Endres, MA Giese
Proceedings of the ACM Symposium on Applied Perception, 41-44, 2013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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