Volker Steuber - researchr alias

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Viewing Publication 1 - 35 from 35

2022

Editorial: Explanation in human-AI systemsAnastasia Angelopoulou, Epaminondas Kapetanios, David Harris Smith, Volker Steuber, Bencie Woll, Frauke Zeller. frai, 5, 2022. [doi]

2021

2019

Hand Gesture Based Gameplay with a Smoothie Maker Game Using Myo ArmbandSudhir Sharma, Volker Steuber, Farshid Amirabdollahian. socrob 2019: 388-398 [doi]

The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal PatternsMuhammad Yaqoob, Volker Steuber, Borys Wróbel. icann 2019: 758-771 [doi]

2018

Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on InputChama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel. icann 2018: 304-313 [doi]

Spiking Neural Networks Evolved to Perform Multiplicative OperationsMuhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel. icann 2018: 314-321 [doi]

2017

Evolving spiking neural networks to control animats for temporal pattern recognition and foragingChama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel. ssci 2017: 1-8 [doi]

Classification of gross upper limb movements using upper arm electromyographic featuresAzeemsha Thacham Poyil, Farshid Amirabdollahian, Volker Steuber. ro-man 2017: 891-896 [doi]

2015

Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductancesGiseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber. jcns, 38(2):221-234, 2015. [doi]

2014

volving Spiking Neural Networks for Temporal Pattern Recognition in the Presence of NoiseAhmed Abdelmotaleb, Neil Davey, Maria J. Schilstra, Volker Steuber, Borys Wróbel. alife 2014: 965-972 [doi]

2013

Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype MappingParimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber. icann 2013: 319-326 [doi]

Modeling the generation of output by the cerebellar nucleiVolker Steuber, Dieter Jaeger. NN, 47:112-119, 2013. [doi]

2012

2011

Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking NeuronsWeiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey. ficn, 2011:14, 2011. [doi]

Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cellsVolker Steuber, Nathan W. Schultheiss, Angus Silver, Erik De Schutter, Dieter Jaeger. jcns, 30(3):633-658, 2011. [doi]

2009

The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robotDavid Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey. ieeealife 2009: 179-183 [doi]

Connection Strategies in Associative Memory Models with Spiking and Non-spiking NeuronsWeiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey. icannga 2009: 42-51 [doi]

The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar CortexGiseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber. icannga 2009: 413-422 [doi]

The first second: Models of short-term memory traces in the brainReinoud Maex, Volker Steuber. NN, 22(8):1105-1112, 2009. [doi]

Evolution of bilateral symmetry in agents controlled by spiking neural networksNicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams. ieeealife 2009: 116-123 [doi]

2008

Connectivity graphs and the performance of sparse associative memory modelsWeiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey. ijcnn 2008: 2742-2749 [doi]

Computational Intelligence in Electrophysiology: Trends and Open ProblemsCengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon 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. In Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul Ella Hassanien, editors, Applications of Computational Intelligence in Biology: Current Trends and Open Problems. Volume 122 of Studies in Computational Intelligence, pages 325-359, Springer, 2008. [doi]

Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural NetworksNicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams. sab 2008: 148-158 [doi]

Optimal noise in spiking neural networks for the detection of chemicals by simulated agentsNicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams. alife 2010: 443-449 [doi]

2004

A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje CellVolker Steuber, David J. Willshaw. jcns, 17(2):149-164, 2004. [doi]

Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errorsVolker Steuber, Erik De Schutter, Dieter Jaeger. ijon, 58-60:563-568, 2004. [doi]

2003

Novelty detection in a Kohonen-like network with a long-term depression learning ruleDionyssios Theofilou, Volker Steuber, Erik De Schutter. ijon, 52-54:411-417, 2003. [doi]

2002

Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell modelVolker Steuber, Erik De Schutter. ijon, 44-46:183-188, 2002. [doi]

2001

Long-term depression and recognition of parallel fibre patterns in a multi-compartmental model of a cerebellar Purkinje cellVolker Steuber, Erik De Schutter. ijon, 38-40:383-388, 2001. [doi]

1999

Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patternsVolker Steuber, David J. Willshaw. ijon, 26-27:271-276, 1999. [doi]

1997

How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink ResponseVolker Steuber, David J. Willshaw. icann 1997: 115-120

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