IGSN
jennifer meyer - graduate student at the international graduate school of neuroscience - university of bochum
main curriculum vitae scientific workfields publications nonprofessionals
 
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publications

Meyer, J., Igel, C., Jancke, D. (2006): Modelling Dynamic Activity Patterns in Early Visual Cortex Based on Voltage Sensitive Dye Experiments, Neuro-Visionen 3, Perspektiven in Nordrhein-Westfalen, Verlag Ferdinand Schöningh.

Mache, D. H., Meyer, J. (2004): Finding relevant input arguments with Radial
Basisfunction Networks. Submitted to Trends and Applications in Constructive Approximation,
International Series of Numerical Mathematics Vol. 151, 2005 Birkhäuser
Verlag .

Kiendl, H., Mache, D. H., Meyer, J., Schauten, D. (2003): Rekonstruktionsbasierte Selektion relevanter Einflussgrößen. In: Reihe Computational Intelligence des Sonderforschungsbereichs 531, Universität Dortmund, Design und Management komplexer technischer Prozesse und Systeme mit Methoden der Computational Intelligence, Nr. CI-154/03. (pdf-file)


talks

 

Meyer, J., Igel, C. Jancke, D.: (29. 11. 2005): Modelling Dynamic Activity Patterns in Early Visual Cortex Based on Voltage Sensitive Dye Experiments, Posterpresentation at 'Neuro 2005: Gehirn - Geist - Psyche'. (gif-file of poster)

Meyer, J.: (15th February 2004): Finding relevant input arguments with Radial
Basisfunction Networks (at IBOMAT 2004 in Witten-Bomerholz, Germany)

Meyer, J.
(8th June 2004): Modelling voltage sensitive dye data in early visual
cortex. (at the International Graduate School of Neuroscience, Bochum, Germany)

Meyer, J.: (12th July 2004): Mathematische Aspekte des Sehens (incl. excersizes) (at M@th-C@mp 2004, Witten-Bommerholz, Germany)

diploma thesis
Meyer, J. (2003):
Multivariate Scattered Data Interpolation mit Radialen Basisfunktions Netzen als Ansatz zum Erkennen relevanter Eingabegrößen.
Supervised by Prof. Dr. D. H. Mache at the university of Dortmund at the Institut of Applied Mathematics.
     

© jennifer meyer, bochum 2004  
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