Stan C. A. M. Gielen

According to our database, Stan C. A. M. Gielen authored at least 27 papers between 1992 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Adaptation and shunting inhibition leads to pyramidal/interneuron gamma with sparse firing of pyramidal cells.

Martin Krupa, Stan C. A. M. Gielen, Boris S. Gutkin

J. Comput. Neurosci., 2014

2012

When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks.

Atthaphon Viriyopase, Ingo Bojak, Magteld Zeitler, Stan C. A. M. Gielen

Frontiers Comput. Neurosci., 2012

2011

A POMDP Model of Eye-Hand Coordination.

Tom Erez, Julian J. Tramper, William D. Smart, Stan C. A. M. Gielen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

The response of a classical Hodgkin-Huxley neuron to an inhibitory input pulse.

Christoph Börgers, Martin Krupa, Stan C. A. M. Gielen

J. Comput. Neurosci., 2010

Gamma oscillations as a mechanism for selective information transmission.

Stan C. A. M. Gielen, Martin Krupa, Magteld Zeitler

Biol. Cybern., 2010

2008

Biased competition through variations in amplitude of <i>gamma</i> -oscillations.

Magteld Zeitler, Pascal Fries, Stan C. A. M. Gielen

J. Comput. Neurosci., 2008

2007

Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour.

Stan C. A. M. Gielen

Proceedings of the Challenges for Computational Intelligence, 2007

Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses.

Daniele Marinazzo, Hilbert J. Kappen, Stan C. A. M. Gielen

Neural Comput., 2007

2006

Assessing Neuronal Coherence with Single-Unit, Multi-Unit, and Local Field Potentials.

Magteld Zeitler, Pascal Fries, Stan C. A. M. Gielen

Neural Comput., 2006

2002

Associative Memory with Dynamic Synapses.

Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen

Neural Comput., 2002

2001

Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing.

Sybert H. Stroeve, Stan C. A. M. Gielen

Neural Comput., 2001

Minimal Model for Intracellular Calcium Oscillations and Electrical Bursting in Melanotrope Cells of Xenopus Laevis.

L. Niels Cornelisse, Wim J. J. M. Scheenen, Werner J. H. Koopman, Eric W. Roubos, Stan C. A. M. Gielen

Neural Comput., 2001

End-point constraints in aiming movements: effects of approach angle and speed.

Mary D. Klein Breteler, Stan C. A. M. Gielen, Ruud G. J. Meulenbroek

Biol. Cybern., 2001

Acoustic correlates of emotion dimensions in view of speech synthesis.

Marc Schröder, Roddy Cowie, Ellen Douglas-Cowie, Machiel Westerdijk, Stan C. A. M. Gielen

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000

A General Framework for Symbol and Rule Extraction in Neural Networks.

Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Partial Retraining: A New Approach to Input Relevance Determination.

Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen

Int. J. Neural Syst., 1999

A comparison of models explaining muscle activation patterns for isometric contractions.

B. M. van Bolhuis, Stan C. A. M. Gielen

Biol. Cybern., 1999

Automatic detection and correction of pronunciation errors for foreign language learners: the demosthenes application.

G. Deville, Olivier Deroo, Henri Leich, Stan C. A. M. Gielen, Johan Vanparys

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

DEMOSTHENES: When the Computer Corrects Your Foreign Language Pronunciation.

Olivier Deroo, Henri Leich, G. Deville, Stan C. A. M. Gielen, Johan Vanparys

Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

1997

Task-Dependent Learning of Attention.

Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen

Neural Networks, 1997

The Population Vector, an unbiased estimator for non-uniformly distributed neural maps.

Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen

Neural Networks, 1997

Input Selection with Partial Retraining.

Piërre van de Laar, Stan C. A. M. Gielen, Tom Heskes

Proceedings of the Artificial Neural Networks, 1997

1996

Interpretation of neuronal activity in neural networks.

Stan C. A. M. Gielen, Roy Glasius, Andrzej Komoda

Neurocomputing, 1996

A biologically inspired neural net for trajectory formation and obstacle avoidance.

Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen

Biol. Cybern., 1996

1995

Neural Network Dynamics for Path Planning and Obstacle Avoidance.

Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen

Neural Networks, 1995

A Neural Model of Visual Attention.

Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1992

Retrieval of pattern sequences at variable speeds in a neural network with delays.

Tom Heskes, Stan C. A. M. Gielen

Neural Networks, 1992