Bernd Porr

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Tao GengMiddlesex UniversityVerified email at mdx.ac.uk
Tomas KulviciusUniversity of Goettingen, Third Institute of Physics - Biophysics, Dept. Computational NeuroscienceVerified email at uni-goettingen.de
Ausra SaudargieneMokslo darbuotojaVerified email at lsmuni.lt
Minija TamosiunaiteUniversity of Göttingen, Germany; Vytautas Magnus University, Kaunas, LithuaniaVerified email at vdu.lt
Poramate ManoonpongProfessor, VISTEC, SDUVerified email at mmmi.sdu.dk
W. Owen BrimijoinResearch Scientist - Reality Labs ResearchVerified email at fb.com
Lubos HladekPost-doc, Audio Information Processing, Technical University of MunichVerified email at tum.de
LIN MENGTianjin UniversityVerified email at tju.edu.cn
Samuel Ewing, EngDBiofourmis AGVerified email at biofourmis.com
Alice MillerProfessor, University of GlasgowVerified email at glasgow.ac.uk
Henrik GolleeSenior LecturerVerified email at glasgow.ac.uk
Bernard ConwayProfessor in Bioengineering, University of StrathclydeVerified email at strath.ac.uk
Judith PrattProfessor of Systems Neuroscience, University of StrathclydeVerified email at strath.ac.uk
Norbert KruegerProfessor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Paul DudchenkoPsychology, University of Stirling; Centre for Cognitive and Neural Systems, University of Edinburgh Verified email at stir.ac.uk
Ravinder DahiyaProfessor, ECE Dept, Northeastern University, Boston, USAVerified email at northeastern.edu
Anthony A. Graceuniversity of pittsburghVerified email at pitt.edu
Ryan KirwanAssistant Professor, Singapore Institute of TechnologyVerified email at SingaporeTech.edu.sg
Christian von FerberCoventry UniversityVerified email at coventry.ac.uk
Emily TilburySenior Acoustic Consultant at Metrica Environmental Consulting LtdVerified email at metricaconsulting.co.uk

Bernd Porr

University of Glasgow

Verified email at glasgow.ac.uk - Homepage

Neuroscience Robotics AI biomedical engineering computational neuroscience


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Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms F Wörgötter, B Porr Neural computation 17 (2), 245-319, 2005	248	2005
Fast biped walking with a sensor-driven neuronal controller and real-time online learning T Geng, B Porr, F Wörgötter The International Journal of Robotics Research 25 (3), 243-259, 2006	200	2006
Adaptive, fast walking in a biped robot under neuronal control and learning P Manoonpong, T Geng, T Kulvicius, B Porr, F Wörgötter PLoS Computational Biology 3 (7), e134, 2007	156	2007
Isotropic sequence order learning B Porr, F Wörgötter Neural Computation 15 (4), 831-864, 2003	105	2003
Reinforcement learning F Woergoetter, B Porr Scholarpedia 3 (3), 1448, 2008	100	2008
Cognitive agents—a procedural perspective relying on the predictability of Object-Action-Complexes (OACs) F Wörgötter, A Agostini, N Krüger, N Shylo, B Porr Robotics and Autonomous Systems 57 (4), 420-432, 2009	99	2009
How the shape of pre-and postsynaptic signals can influence STDP: a biophysical model A Saudargiene, B Porr, F Wörgötter Neural Computation 16 (3), 595-625, 2004	88	2004
Strongly improved stability and faster convergence of temporal sequence learning by using input correlations only B Porr, F Wörgötter Neural computation 18 (6), 1380-1412, 2006	81	2006
A reflexive neural network for dynamic biped walking control T Geng, B Porr, F Wörgötter Neural computation 18 (5), 1156-1196, 2006	60	2006
SaBer DBS: a fully programmable, rechargeable, bilateral, charge-balanced preclinical microstimulator for long-term neural stimulation SG Ewing, B Porr, J Riddell, C Winter, AA Grace Journal of neuroscience methods 213 (2), 228-235, 2013	45	2013
Learning with “relevance”: using a third factor to stabilize Hebbian learning B Porr, F Wörgötter Neural computation 19 (10), 2694-2719, 2007	42	2007
Fast biped walking with a reflexive controller and real-time policy searching T Geng, B Porr, F Wörgötter Advances in Neural Information Processing Systems 18, 2005	38	2005
Inside embodiment–what means embodiment to radical constructivists? B Porr, F Wörgötter Kybernetes 34 (1/2), 105-117, 2005	36	2005
ISO learning approximates a solution to the inverse-controller problem in an unsupervised behavioral paradigm B Porr, C Ferber, F Wörgötter Neural Computation 15 (4), 865-884, 2003	36	2003
Isotropic-sequence-order learning in a closed-loop behavioural system B Porr, F Wörgötter Philosophical Transactions of the Royal Society of London. Series A …, 2003	30	2003
The RunBot architecture for adaptive, fast, dynamic walking P Manoonpong, T Geng, B Porr, F Worgotter 2007 IEEE International Symposium on Circuits and Systems (ISCAS), 1181-1184, 2007	29	2007
Deep brain stimulation artifact removal through under-sampling and cubic-spline interpolation C Waddell, JA Pratt, B Porr, S Ewing 2009 2nd International Congress on Image and Signal Processing, 1-5, 2009	28	2009
R-peak detector stress test with a new noisy ECG database reveals significant performance differences amongst popular detectors B Porr, L Howell BioRxiv, 722397, 2019	26	2019
Real-time estimation of horizontal gaze angle by saccade integration using in-ear electrooculography Ľ Hládek, B Porr, WO Brimijoin Plos one 13 (1), e0190420, 2018	26	2018
How to “hear” visual disparities: real-time stereoscopic spatial depth analysis using temporal resonance B Porr, A Cozzi, F Wörgötter Biological Cybernetics 78 (5), 329-336, 1998	20	1998

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