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Moritz Helias

Showing results (21-30 of 48) with videos related to

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Plos Computational Biology|October 3, 2017
Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy modelsVahid Rostami, PierGianLuca Porta Mana, Sonja Grün, et al.
Frontiers in Computational Neuroscience|January 9, 2009
Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.deMoritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, et al.
Plos Computational Biology|November 8, 2012
Decorrelation of neural-network activity by inhibitory feedbackTom Tetzlaff, Moritz Helias, Gaute T Einevoll, et al.
Frontiers in Neuroinformatics|October 30, 2010
A general and efficient method for incorporating precise spike times in globally time-driven simulationsAlexander Hanuschkin, Susanne Kunkel, Moritz Helias, et al.
Neurobiology of Disease|August 13, 2013
NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitroAndreas Vlachos, Moritz Helias, Denise Becker, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 28, 2010
Nonequilibrium dynamics of stochastic point processes with refractorinessMoritz Deger, Moritz Helias, Stefano Cardanobile, et al.
Plos Computational Biology|October 12, 2020
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networksMatthieu Gilson, David Dahmen, Rubén Moreno-Bote, et al.
Frontiers in Computational Neuroscience|February 7, 2014
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regimeBirgit Kriener, Moritz Helias, Stefan Rotter, et al.
Plos Computational Biology|February 2, 2017
Fundamental Activity Constraints Lead to Specific Interpretations of the ConnectomeJannis Schuecker, Maximilian Schmidt, Sacha J van Albada, et al.
Physical Review. E|May 20, 2020
Self-consistent formulations for stochastic nonlinear neuronal dynamicsJonas Stapmanns, Tobias Kühn, David Dahmen, et al.
Pageof 5

Showing results (21-30 of 48) with videos related to

Sort By:
Pageof 5
Plos Computational Biology|October 3, 2017
Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy modelsVahid Rostami, PierGianLuca Porta Mana, Sonja Grün, et al.
Frontiers in Computational Neuroscience|January 9, 2009
Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.deMoritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, et al.
Plos Computational Biology|November 8, 2012
Decorrelation of neural-network activity by inhibitory feedbackTom Tetzlaff, Moritz Helias, Gaute T Einevoll, et al.
Frontiers in Neuroinformatics|October 30, 2010
A general and efficient method for incorporating precise spike times in globally time-driven simulationsAlexander Hanuschkin, Susanne Kunkel, Moritz Helias, et al.
Neurobiology of Disease|August 13, 2013
NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitroAndreas Vlachos, Moritz Helias, Denise Becker, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 28, 2010
Nonequilibrium dynamics of stochastic point processes with refractorinessMoritz Deger, Moritz Helias, Stefano Cardanobile, et al.
Plos Computational Biology|October 12, 2020
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networksMatthieu Gilson, David Dahmen, Rubén Moreno-Bote, et al.
Frontiers in Computational Neuroscience|February 7, 2014
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regimeBirgit Kriener, Moritz Helias, Stefan Rotter, et al.
Plos Computational Biology|February 2, 2017
Fundamental Activity Constraints Lead to Specific Interpretations of the ConnectomeJannis Schuecker, Maximilian Schmidt, Sacha J van Albada, et al.
Physical Review. E|May 20, 2020
Self-consistent formulations for stochastic nonlinear neuronal dynamicsJonas Stapmanns, Tobias Kühn, David Dahmen, et al.
Pageof 5