Volker Steuber

Publication Activity (10 Years)

Years Active: 1997-2022
Publications (10 Years): 10

Top Topics

Spiking Neural Networks

Pattern Recognition

Biologically Inspired

Top Venues

Frontiers Neurorobotics

J. Comput. Neurosci.

Publications

Anastasia Angelopoulou, Epaminondas Kapetanios, David Harris Smith, Volker Steuber, Bencie Woll, Frauke Zeller
Editorial: Explanation in human-AI systems. Frontiers Artif. Intell. 5 (2022)
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)
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 (2021)
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 (2021)
Sudhir Sharma, Volker Steuber, Farshid Amirabdollahian
Hand Gesture Based Gameplay with a Smoothie Maker Game Using Myo Armband. ICSR (2019)
Muhammad Yaqoob, Volker Steuber, Borys Wróbel
The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns. ICANN (1) (2019)
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)
Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel
Spiking Neural Networks Evolved to Perform Multiplicative Operations. ICANN (1) (2018)
Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel
Evolving spiking neural networks to control animats for temporal pattern recognition and foraging. SSCI (2017)
Azeemsha Thacham Poyil, Farshid Amirabdollahian, Volker Steuber
Classification of gross upper limb movements using upper arm electromyographic features. RO-MAN (2017)
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) (2015)
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)
Volker Steuber, Dieter Jaeger
Modeling the generation of output by the cerebellar nuclei. Neural Networks 47 (2013)
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)
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)
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)
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)
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) (2011)
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 (2011)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Evolution of bilateral symmetry in agents controlled by spiking neural networks. ALIFE (2009)
Reinoud Maex, Volker Steuber
The first second: Models of short-term memory traces in the brain. Neural Networks 22 (8) (2009)
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)
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)
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)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB (2008)
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)
Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey
Connectivity graphs and the performance of sparse associative memory models. IJCNN (2008)
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) (2004)
Volker Steuber, Erik De Schutter, Dieter Jaeger
Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors. Neurocomputing (2004)
Dionyssios Theofilou, Volker Steuber, Erik De Schutter
Novelty detection in a Kohonen-like network with a long-term depression learning rule. Neurocomputing (2003)
Volker Steuber, Erik De Schutter
Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model. Neurocomputing (2002)
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 (2001)
Volker Steuber, David J. Willshaw
Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing (1999)
Volker Steuber, David J. Willshaw
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response. ICANN (1997)