Volker Steuber

Orcid: 0000-0003-0186-3580

According to our database1, Volker Steuber authored at least 35 papers between 1997 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Editorial: Explanation in human-AI systems.
Frontiers Artif. Intell., 2022

2021
Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions.
PLoS Comput. Biol., 2021

Embodiment and Its Influence on Informational Costs of Decision Density - Atomic Actions vs. Scripted Sequences.
Frontiers Robotics AI, 2021

EEG Spectral Feature Modulations Associated With Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions.
Frontiers Neurorobotics, 2021

2019
Hand Gesture Based Gameplay with a Smoothie Maker Game Using Myo Armband.
Proceedings of the Social Robotics - 11th International Conference, 2019

The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Spiking Neural Networks Evolved to Perform Multiplicative Operations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Evolving spiking neural networks to control animats for temporal pattern recognition and foraging.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Classification of gross upper limb movements using upper arm electromyographic features.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

2015
Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances.
J. Comput. Neurosci., 2015

2014
volving Spiking Neural Networks for Temporal Pattern Recognition in the Presence of Noise.
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013
Modeling the generation of output by the cerebellar nuclei.
Neural Networks, 2013

Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
The Effective Calcium/Calmodulin Concentration Determines the Sensitivity of CaMKII to the Frequency of Calcium Oscillations.
Proceedings of the Information Processign in Cells and Tissues, 2012

The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations.
Proceedings of the Information Processign in Cells and Tissues, 2012

Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.
J. Comput. Neurosci., 2011

Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons.
Frontiers Comput. Neurosci., 2011

2009
The first second: Models of short-term memory traces in the brain.
Neural Networks, 2009

Evolution of bilateral symmetry in agents controlled by spiking neural networks.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008
Computational Intelligence in Electrophysiology: Trends and Open Problems.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks.
Proceedings of the From Animals to Animats 10, 2008

Connectivity graphs and the performance of sparse associative memory models.
Proceedings of the International Joint Conference on Neural Networks, 2008

Optimal noise in spiking neural networks for the detection of chemicals by simulated agents.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2004
A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje Cell.
J. Comput. Neurosci., 2004

Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors.
Neurocomputing, 2004

2003
Novelty detection in a Kohonen-like network with a long-term depression learning rule.
Neurocomputing, 2003

2002
Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model.
Neurocomputing, 2002

2001
Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cell.
Neurocomputing, 2001

1999
Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns.
Neurocomputing, 1999

1997
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response.
Proceedings of the Artificial Neural Networks, 1997


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