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ORCIDBernd Porr
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- affiliation: University of Glasgow, School of Biomedical Engineering, UK
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2020 – today
- 2024
[i5]Giulia Lafratta, Bernd Porr, Christopher Chandler, Alice Miller:
Homeostatic motion planning with innate physics knowledge. CoRR abs/2402.15384 (2024)- 2023
- [c19]Prajval Kumar Murali, Bernd Porr, Mohsen Kaboli
:
Touch if it's Transparent! ACTOR: Active Tactile-Based Category-Level Transparent Object Reconstruction. IROS 2023: 10792-10799 - [c18]Christopher Chandler, Bernd Porr, Alice Miller, Giulia Lafratta:
Model Checking for Closed-Loop Robot Reactive Planning. FMAS@iFM 2023: 77-94 - [d1]Bernd Porr, Florentin Wörgötter:
Strongly Improved Stability and Faster Convergence of Temporal Sequence Learning by Using Input Correlations Only. Zenodo, 2023
- [i4]Prajval Kumar Murali, Bernd Porr, Mohsen Kaboli:
Touch if it's transparent! ACTOR: Active Tactile-based Category-Level Transparent Object Reconstruction. CoRR abs/2307.16254 (2023) - [i3]Sama Daryanavard, Bernd Porr:
Prime and Modulate Learning: Generation of forward models with signed back-propagation and environmental cues. CoRR abs/2309.03825 (2023) - 2021
- [c17]Daumantas Pagojus, Alice Miller, Bernd Porr, Ivaylo Valkov:
Simulation and Model Checking for Close to Realtime Overtaking Planning. FMAS 2021: 20-37 - [i2]Sama Daryanavard, Bernd Porr:
Sign and Relevance learning. CoRR abs/2110.07292 (2021) - 2020
- [j36]Bernd Porr, Paul Miller:
Forward propagation closed loop learning. Adapt. Behav. 28(3) (2020) - [j35]Bernd Porr, Alice Miller, Alex Trew:
An investigation into serotonergic and environmental interventions against depression in a simulated delayed reward paradigm. Adapt. Behav. 28(4) (2020) - [j34]Sama Daryanavard, Bernd Porr:
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation. Neural Comput. 32(11): 2122-2144 (2020) - [i1]Sama Daryanavard, Bernd Porr:
Closed-loop deep learning: generating forward models with back-propagation. CoRR abs/2001.02970 (2020)
2010 – 2019
- 2018
- [j33]Lin Meng, Catherine A. Macleod, Bernd Porr, Henrik Gollee:
Bipedal robotic walking control derived from analysis of human locomotion. Biol. Cybern. 112(3): 277-290 (2018) - [c16]Bernd Porr, Paul Miller:
Deep Feedback Learning. SAB 2018: 189-200 - 2016
- [j32]Ryan F. Kirwan, Alice Miller, Bernd Porr:
Model checking learning agent systems using Promela with embedded C code and abstraction. Formal Aspects Comput. 28(6): 1027-1056 (2016) - [c15]Marc Sutherland, Bernd Porr:
Modelling the Effect of Dorsal Raphe Serotonin Neurons on Patience for Future Rewards. SAB 2016: 256-266 - 2013
- [j31]Ryan F. Kirwan, Alice Miller, Bernd Porr, Paolo di Prodi:
Formal Modeling of Robot Behavior with Learning. Neural Comput. 25(11): 2976-3019 (2013) - 2012
- [c14]Graeme Hattan, Bernd Porr:
A Computational Model of the Role of Serotonin in Reversal Learning. SAB 2012: 279-288 - 2011
- [j30]Bernd Porr, Lynsey McCabe, Paolo di Prodi, Christoph Kolodziejski, Florentin Wörgötter:
How feedback inhibition shapes spike-timing-dependent plasticity and its implications for recent Schizophrenia models. Neural Networks 24(6): 560-567 (2011) - 2010
- [j29]Adedoyin Maria Thompson, Bernd Porr, Florentin Wörgötter:
Learning and Reversal Learning in the Subcortical Limbic System: A Computational Model. Adapt. Behav. 18(3-4): 211-236 (2010) - [j28]Tomas Kulvicius, Christoph Kolodziejski, Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter:
Behavioral analysis of differential hebbian learning in closed-loop systems. Biol. Cybern. 103(4): 255-271 (2010) - [j27]Minija Tamosiunaite, James Ainge, Tomas Kulvicius, Bernd Porr, Paul Dudchenko, Florentin Wörgötter:
Erratum to: Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning. J. Comput. Neurosci. 28(3): 619 (2010) - [j26]Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter:
Erratum to: Self-influencing synaptic plasticity: recurrent changes of synaptic weights can lead to specific functional properties. J. Comput. Neurosci. 28(3): 621 (2010) - [c13]Paolo di Prodi, Bernd Porr, Florentin Wörgötter:
A Novel Information Measure for Predictive Learning in a Social System Setting. SAB 2010: 511-522
2000 – 2009
- 2009
- [j25]Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter:
On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning. Neural Comput. 21(4): 1173-1202 (2009) - [j24]Florentin Wörgötter, Alejandro Agostini, Norbert Krüger, N. Shylo, Bernd Porr:
Cognitive agents - a procedural perspective relying on the predictability of Object-Action-Complexes (OACs). Robotics Auton. Syst. 57(4): 420-432 (2009) - 2008
- [j23]Christoph Kolodziejski, Bernd Porr, Florentin Wörgötter:
Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison. Biol. Cybern. 98(3): 259-272 (2008) - [j22]Minija Tamosiunaite, James Ainge, Tomas Kulvicius, Bernd Porr, Paul Dudchenko, Florentin Wörgötter:
Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning. J. Comput. Neurosci. 25(3): 562-582 (2008) - [j21]Florentin Wörgötter, Bernd Porr:
Reinforcement learning. Scholarpedia 3(3): 1448 (2008) - [c12]Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite, Florentin Wörgötter:
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor. NIPS 2008: 857-864 - [c11]Adedoyin Maria Thompson, Bernd Porr, Christoph Kolodziejski, Florentin Wörgötter:
Second Order Conditioning in the Sub-cortical Nuclei of the Limbic System. SAB 2008: 189-198 - 2007
- [j20]Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter:
Developing velocity sensitivity in a model neuron by local synaptic plasticity. Biol. Cybern. 96(5): 507-518 (2007) - [j19]Tomas Kulvicius, Bernd Porr, Florentin Wörgötter:
Chained learning architectures in a simple closed-loop behavioural context. Biol. Cybern. 97(5-6): 363-378 (2007) - [j18]Bernd Porr, Florentin Wörgötter:
Fast heterosynaptic learning in a robot food retrieval task inspired by the limbic system. Biosyst. 89(1-3): 294-299 (2007) - [j17]Bernd Porr, Tomas Kulvicius, Florentin Wörgötter:
Improved stability and convergence with three factor learning. Neurocomputing 70(10-12): 2005-2008 (2007) - [j16]Tomas Kulvicius, Bernd Porr, Florentin Wörgötter:
Development of receptive fields in a closed-loop behavioural system. Neurocomputing 70(10-12): 2046-2049 (2007) - [j15]Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter:
Self-influencing synaptic plasticity: Recurrent changes of synaptic weights can lead to specific functional properties. J. Comput. Neurosci. 23(1): 113-127 (2007) - [j14]Bernd Porr, Florentin Wörgötter:
Learning with "Relevance": Using a Third Factor to Stabilize Hebbian Learning. Neural Comput. 19(10): 2694-2719 (2007) - [j13]Poramate Manoonpong, Tao Geng, Tomas Kulvicius, Bernd Porr, Florentin Wörgötter:
Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning. PLoS Comput. Biol. 3(7) (2007) - [j12]Poramate Manoonpong, Tao Geng, Tomas Kulvicius, Bernd Porr, Florentin Wörgötter:
Correction: Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning. PLoS Comput. Biol. 3(9) (2007) - [c10]Poramate Manoonpong, Tao Geng, Bernd Porr, Florentin Wörgötter:
The RunBot Architecture for Adaptive, Fast, Dynamic Walking. ISCAS 2007: 1181-1184 - [c9]Sven Soell, Bernd Porr:
An Undersampling Digital Microphone. ISCAS 2007: 3820-3823 - 2006
- [j11]Tao Geng, Bernd Porr, Florentin Wörgötter:
Fast Biped Walking with a Sensor-driven Neuronal Controller and Real-time Online Learning. Int. J. Robotics Res. 25(3): 243-259 (2006) - [j10]Tao Geng, Bernd Porr, Florentin Wörgötter:
A Reflexive Neural Network for Dynamic Biped Walking Control. Neural Comput. 18(5): 1156-1196 (2006) - [j9]Bernd Porr, Florentin Wörgötter:
Strongly Improved Stability and Faster Convergence of Temporal Sequence Learning by Using Input Correlations Only. Neural Comput. 18(6): 1380-1412 (2006) - [c8]Adedoyin Maria Thompson, Bernd Porr, Florentin Wörgötter:
Stabilising Hebbian Learning with a Third Factor in a Food Retrieval Task. SAB 2006: 313-322 - 2005
- [j8]Ausra Saudargiene, Bernd Porr, Florentin Wörgötter:
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticity. Biol. Cybern. 92(2): 128-138 (2005) - [j7]Florentin Wörgötter, Bernd Porr:
Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms. Neural Comput. 17(2): 245-319 (2005) - [c7]Tao Geng, Bernd Porr, Florentin Wörgötter:
Self-stabilized biped walking under control of a novel reflexive network. IROS 2005: 3269-3274 - [c6]Tao Geng, Bernd Porr, Florentin Wörgötter:
Fast biped walking with a reflexive controller and real-time policy searching. NIPS 2005: 427-434 - [c5]Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter:
Temporally changing synaptic plasticity. NIPS 2005: 1337-1344 - 2004
- [j6]Ausra Saudargiene, Bernd Porr, Florentin Wörgötter:
How the Shape of Pre- and Postsynaptic Signals Can Influence STDP: A Biophysical Model. Neural Comput. 16(3): 595-625 (2004) - [c4]Ausra Saudargiene, Bernd Porr, Florentin Wörgötter:
Biologically inspired artificial neural network algorithm which implements local learning rules. ISCAS (5) 2004: 389-392 - 2003
- [j5]Bernd Porr, Florentin Wörgötter:
Isotropic Sequence Order Learning. Neural Comput. 15(4): 831-864 (2003) - [j4]Bernd Porr, Christian von Ferber, Florentin Wörgötter:
ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm. Neural Comput. 15(4): 865-884 (2003) - [c3]Bernd Porr, Ausra Saudargiene, Florentin Wörgötter:
Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics. NIPS 2003: 1343-1350 - 2002
- [j3]Bernd Porr, Bernd Nürenberg, Florentin Wörgötter:
A VLSI-Compatible Computer Vision Algorithm for Stereoscopic Depth Analysis in Real-Time. Int. J. Comput. Vis. 49(1): 39-55 (2002) - [j2]Bernd Porr, Florentin Wörgötter:
Predictive learning in rate-coded neuronal networks: a theoretical approach towards classical conditioning. Neurocomputing 44-46: 585-590 (2002) - [c2]Bernd Porr, Florentin Wörgötter:
Learning a Forward Model of a Reflex. NIPS 2002: 1531-1538 - 2001
- [c1]Bernd Porr, Florentin Wörgötter:
Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning. ICANN 2001: 1115-1120
1990 – 1999
- 1998
- [j1]Bernd Porr, Alex Cozzi, Florentin Wörgötter:
How to "hear" visual disparities: real-time stereoscopic spatial depth analysis using temporal resonance. Biol. Cybern. 78(5): 329-336 (1998)
Coauthor Index
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