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Klaus Obermayer

Showing results (1-10 of 96) with videos related to

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The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 1, 2005
Adaptivity of tuning functions in a generic recurrent network model of a cortical hypercolumnLars Schwabe, Klaus Obermayer
Neural Computation|June 21, 2003
Soft learning vector quantizationSambu Seo, Klaus Obermayer
Frontiers in Neuroinformatics|November 26, 2013
Spyke Viewer: a flexible and extensible platform for electrophysiological data analysisRobert Pröpper, Klaus Obermayer
Frontiers in Computational Neuroscience|December 23, 2024
A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamicsLena Salfenmoser, Klaus Obermayer
Plos Computational Biology|April 24, 2020
Biophysically grounded mean-field models of neural populations under electrical stimulationCaglar Cakan, Klaus Obermayer
Frontiers in Neuroinformatics|September 10, 2016
pypet: A Python Toolkit for Data Management of Parameter ExplorationsRobert Meyer, Klaus Obermayer
Bio Systems|December 3, 2002
Rapid adaptation and efficient codingLars Schwabe, Klaus Obermayer
Plos Computational Biology|April 23, 2019
Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network modelsJosef Ladenbauer, Klaus Obermayer
Vision Research|July 26, 2005
Learning top-down gain control of feature selectivity in a recurrent network model of a visual cortical areaLars Schwabe, Klaus Obermayer
Neural Computation|June 13, 2006
Support vector machines for dyadic dataSepp Hochreiter, Klaus Obermayer
Pageof 10

Showing results (1-10 of 96) with videos related to

Sort By:
Pageof 10
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 1, 2005
Adaptivity of tuning functions in a generic recurrent network model of a cortical hypercolumnLars Schwabe, Klaus Obermayer
Neural Computation|June 21, 2003
Soft learning vector quantizationSambu Seo, Klaus Obermayer
Frontiers in Neuroinformatics|November 26, 2013
Spyke Viewer: a flexible and extensible platform for electrophysiological data analysisRobert Pröpper, Klaus Obermayer
Frontiers in Computational Neuroscience|December 23, 2024
A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamicsLena Salfenmoser, Klaus Obermayer
Plos Computational Biology|April 24, 2020
Biophysically grounded mean-field models of neural populations under electrical stimulationCaglar Cakan, Klaus Obermayer
Frontiers in Neuroinformatics|September 10, 2016
pypet: A Python Toolkit for Data Management of Parameter ExplorationsRobert Meyer, Klaus Obermayer
Bio Systems|December 3, 2002
Rapid adaptation and efficient codingLars Schwabe, Klaus Obermayer
Plos Computational Biology|April 23, 2019
Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network modelsJosef Ladenbauer, Klaus Obermayer
Vision Research|July 26, 2005
Learning top-down gain control of feature selectivity in a recurrent network model of a visual cortical areaLars Schwabe, Klaus Obermayer
Neural Computation|June 13, 2006
Support vector machines for dyadic dataSepp Hochreiter, Klaus Obermayer
Pageof 10