Werner M. Kistler
 
 

Contact:

     +41(21)693-3907
     +41(21)693-5263
    Werner.Kistler@epfl.ch

Room: INF 134

Main interests of research:

• Computational Neuroscience
• time coding
• learning algorithms
• cerebellum.
• Applications of Functional Analysis and Operator Theory
• representation of nonlinear input-output systems
• solution operators for nonlinear differential equations
• Pattern Formation
• neuronal field theory

Recent publications:

• W. M. Kistler.

Stability properties of solitary waves and periodic wave trains in a two-dimensional network of spiking neurons
Submitted.
 
• W. M. Kistler

Ein neuronales Modell des Kleinhirns basierend auf Zeitcodierung und synaptischer Plastizität
dissertation.de Berlin, 2000
 
• W. M. Kistler, J. L. van Hemmen, and C. I. De Zeeuw.

Time Window Control: A Model for Cerebellar Function Based on Synchronization, Reverberation, and Time Slicing
in N. M. Gerrits, T. J. H. Ruigrok, and C. I. De Zeeuw (eds.), Cerebellar Modules: Molecules, Morphology, and Function.
Progress in Brain Research, Elsevier 2000
 
• W. M. Kistler and J. L. van Hemmen

Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials
Neural Computation, 12, 385-405, 2000
 
• J. L. van Hemmen, W. M. Kistler, and E. G. F. Thomas.

Calculation of Volterra Kernels for Solutions of Nonlinear Differential Equations
SIAM Journal on Applied Mathematics, 61(1): 1-21, 2000
 
• W. M. Kistler and J. L. van Hemmen.

Delayed Reverberation Through Time Windows as a Key to Cerebellar Function
Biological Cybernetics, 81(5/6): 373-380, 1999
 
• W. M. Kistler and J. L. van Hemmen.

Time-Slicing: A Model for Cerebellar Function Based on Synchronization, Reverberation, and Time Windows
ICANN'99 -- Ninth International Conference on Artificial Neural Networks: 539-544. IEE Conference Publication, London 1999
 
• W. M. Kistler and J. L. van Hemmen

Short-Term Synaptic Plasticity and Network Behavior
Neural Computation, 11(7): 1579-1594, 1999
 
• W. M. Kistler and J. L. van Hemmen.

An Analytically Solvable Model of Collective Excitation Patterns in Cortical Tissue,
in J. Parisi, S. C. Müller, and W. Zimmermann (eds.), A perspective look at nonlinear media.
Springer 1998
 
• W. M. Kistler, R. Seitz, and J. L. van Hemmen.

Modelling Collective Excitations in Cortical Tissue
Physica D, 114(3/4): 273-295, 1998.
 
• W. M. Kistler, W. Gerstner, and J. L. van Hemmen.

Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model
Neural Computation, 9(5): 1015-1045, 1997.