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Volker Steuber
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2020 – today
- 2022
- [j15]Anastasia Angelopoulou, Epaminondas Kapetanios, David Harris Smith, Volker Steuber, Bencie Woll, Frauke Zeller:
Editorial: Explanation in human-AI systems. Frontiers Artif. Intell. 5 (2022) - 2021
- [j14]Udeshika C. Dissanayake, Volker Steuber, Farshid Amirabdollahian:
EEG Spectral Feature Modulations Associated With Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions. Frontiers Neurorobotics 15: 788494 (2021) - [j13]Bente Riegler, Daniel Polani, Volker Steuber:
Embodiment and Its Influence on Informational Costs of Decision Density - Atomic Actions vs. Scripted Sequences. Frontiers Robotics AI 8: 535158 (2021) - [j12]Ankur Sinha, Christoph Metzner, Neil Davey, Roderick Adams, Michael Schmuker, Volker Steuber:
Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions. PLoS Comput. Biol. 17(6) (2021)
2010 – 2019
- 2019
- [c19]Muhammad Yaqoob, Volker Steuber, Borys Wróbel:
The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns. ICANN (1) 2019: 758-771 - [c18]Sudhir Sharma, Volker Steuber, Farshid Amirabdollahian:
Hand Gesture Based Gameplay with a Smoothie Maker Game Using Myo Armband. ICSR 2019: 388-398 - 2018
- [c17]Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel:
Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input. ICANN (1) 2018: 304-313 - [c16]Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel:
Spiking Neural Networks Evolved to Perform Multiplicative Operations. ICANN (1) 2018: 314-321 - 2017
- [c15]Azeemsha Thacham Poyil, Farshid Amirabdollahian, Volker Steuber:
Classification of gross upper limb movements using upper arm electromyographic features. RO-MAN 2017: 891-896 - [c14]Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel:
Evolving spiking neural networks to control animats for temporal pattern recognition and foraging. SSCI 2017: 1-8 - 2015
- [j11]Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber:
Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances. J. Comput. Neurosci. 38(2): 221-234 (2015) - 2014
- [c13]Ahmed Abdelmotaleb, Neil Davey, Maria J. Schilstra, Volker Steuber, Borys Wróbel:
volving Spiking Neural Networks for Temporal Pattern Recognition in the Presence of Noise. ALIFE 2014: 965-972 - 2013
- [j10]Volker Steuber, Dieter Jaeger:
Modeling the generation of output by the cerebellar nuclei. Neural Networks 47: 112-119 (2013) - [c12]Parimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber:
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping. ICANN 2013: 319-326 - 2012
- [c11]Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber:
Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition. ICANN (1) 2012: 355-362 - [c10]Thiago M. Pinto, Maria J. Schilstra, Volker Steuber:
The Effective Calcium/Calmodulin Concentration Determines the Sensitivity of CaMKII to the Frequency of Calcium Oscillations. IPCAT 2012: 131-135 - [c9]Alex Metaxas, Reinoud Maex, Volker Steuber, Rod Adams, Neil Davey:
The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations. IPCAT 2012: 136-142 - 2011
- [j9]Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey:
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons. Frontiers Comput. Neurosci. 5: 14 (2011) - [j8]Volker Steuber, Nathan W. Schultheiss, Angus Silver, Erik De Schutter, Dieter Jaeger:
Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells. J. Comput. Neurosci. 30(3): 633-658 (2011)
2000 – 2009
- 2009
- [j7]Reinoud Maex, Volker Steuber:
The first second: Models of short-term memory traces in the brain. Neural Networks 22(8): 1105-1112 (2009) - [c8]Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey:
Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons. ICANNGA 2009: 42-51 - [c7]Giseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber:
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. ICANNGA 2009: 413-422 - [c6]Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams:
Evolution of bilateral symmetry in agents controlled by spiking neural networks. ALIFE 2009: 116-123 - [c5]David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey:
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. ALIFE 2009: 179-183 - 2008
- [c4]Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams:
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. ALIFE 2008: 443-449 - [c3]Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey:
Connectivity graphs and the performance of sparse associative memory models. IJCNN 2008: 2742-2749 - [c2]Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams:
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB 2008: 148-158 - [p1]Cengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon M. Crook, Volker Steuber, Angus Silver, Horatiu Voicu, Peter Andrews, Hemant Bokil, Hiren Maniar, Catherine Loader, Samar Mehta, David Kleinfeld, David J. Thomson, Partha P. Mitra, Gloster Aaron, Jean-Marc Fellous:
Computational Intelligence in Electrophysiology: Trends and Open Problems. Applications of Computational Intelligence in Biology 2008: 325-359 - 2004
- [j6]Volker Steuber, Erik De Schutter, Dieter Jaeger:
Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. Neurocomputing 58-60: 563-568 (2004) - [j5]Volker Steuber, David J. Willshaw:
A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje Cell. J. Comput. Neurosci. 17(2): 149-164 (2004) - 2003
- [j4]Dionyssios Theofilou, Volker Steuber, Erik De Schutter:
Novelty detection in a Kohonen-like network with a long-term depression learning rule. Neurocomputing 52-54: 411-417 (2003) - 2002
- [j3]Volker Steuber, Erik De Schutter:
Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model. Neurocomputing 44-46: 183-188 (2002) - 2001
- [j2]Volker Steuber, Erik De Schutter:
Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell. Neurocomputing 38-40: 383-388 (2001)
1990 – 1999
- 1999
- [j1]Volker Steuber, David J. Willshaw:
Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing 26-27: 271-276 (1999) - 1997
- [c1]Volker Steuber, David J. Willshaw:
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response. ICANN 1997: 115-120
Coauthor Index
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