Bernd Porr
Bernd Porr
University of Glasgow
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
Adaptive, fast walking in a biped robot under neuronal control and learning
P Manoonpong, T Geng, T Kulvicius, B Porr, F Wörgötter
PLoS Comput Biol 3 (7), e134, 2007
Isotropic sequence order learning
B Porr, F Wörgötter
Neural Computation 15 (4), 831-864, 2003
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
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
Reinforcement learning
F Woergoetter, B Porr
Scholarpedia 3 (3), 1448, 2008
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
A reflexive neural network for dynamic biped walking control
T Geng, B Porr, F Wörgötter
Neural computation 18 (5), 1156-1196, 2006
Fast biped walking with a reflexive controller and real-time policy searching
T Geng, B Porr, F Wörgötter
Advances in Neural Information Processing Systems, 427-434, 2006
The new science of cybernetics. The evolution of living research designs Volume I: Methodology
KH Müller
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
Learning with “relevance”: using a third factor to stabilize hebbian learning
B Porr, F Wörgötter
Neural computation 19 (10), 2694-2719, 2007
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
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
Inside embodiment–what means embodiment to radical constructivists?
B Porr, F Wörgötter
Kybernetes, 2005
The RunBot architecture for adaptive, fast, dynamic walking
P Manoonpong, T Geng, B Porr, F Worgotter
2007 IEEE International Symposium on Circuits and Systems, 1181-1184, 2007
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticity
A Saudargiene, B Porr, F Wörgötter
Biological cybernetics 92 (2), 128-138, 2005
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
Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison
C Kolodziejski, B Porr, F Wörgötter
Biological cybernetics 98 (3), 259, 2008
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