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Birgit Kriener

Showing results (1-10 of 14) with videos related to

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Chaos (Woodbury, N.Y.)|October 2, 2012
How synaptic weights determine stability of synchrony in networks of pulse-coupled excitatory and inhibitory oscillatorsBirgit Kriener
Cell Reports|June 15, 2022
Parvalbumin interneuron dendrites enhance gamma oscillationsBirgit Kriener, Hua Hu, Koen Vervaeke
Proceedings of the National Academy of Sciences of the United States of America|October 3, 2020
Robust parallel decision-making in neural circuits with nonlinear inhibitionBirgit Kriener, Rishidev Chaudhuri, Ila R Fiete
Frontiers in Computational Neuroscience|February 24, 2011
Inferring synaptic connectivity from spatio-temporal spike patternsFrank Van Bussel, Birgit Kriener, Marc Timme
Journal of Computational Neuroscience|July 2, 2009
Correlations in spiking neuronal networks with distance dependent connectionsBirgit Kriener, Moritz Helias, Ad Aertsen, et al.
Neural Computation|April 29, 2008
Correlations and population dynamics in cortical networksBirgit Kriener, Tom Tetzlaff, Ad Aertsen, 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.
Nature Communications|July 2, 2025
Brain region-specific gain modulation of place cells by VIP neuronsNora Lenkey, Anna Christina Garvert, Máté Neubrandt, et al.
Journal of Computational Neuroscience|August 28, 2018
Firing-rate models for neurons with a broad repertoire of spiking behaviorsThomas Heiberg, Birgit Kriener, Tom Tetzlaff, et al.
Journal of Computational Neuroscience|June 21, 2013
Firing-rate models capture essential response dynamics of LGN relay cellsThomas Heiberg, Birgit Kriener, Tom Tetzlaff, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Chaos (Woodbury, N.Y.)|October 2, 2012
How synaptic weights determine stability of synchrony in networks of pulse-coupled excitatory and inhibitory oscillatorsBirgit Kriener
Cell Reports|June 15, 2022
Parvalbumin interneuron dendrites enhance gamma oscillationsBirgit Kriener, Hua Hu, Koen Vervaeke
Proceedings of the National Academy of Sciences of the United States of America|October 3, 2020
Robust parallel decision-making in neural circuits with nonlinear inhibitionBirgit Kriener, Rishidev Chaudhuri, Ila R Fiete
Frontiers in Computational Neuroscience|February 24, 2011
Inferring synaptic connectivity from spatio-temporal spike patternsFrank Van Bussel, Birgit Kriener, Marc Timme
Journal of Computational Neuroscience|July 2, 2009
Correlations in spiking neuronal networks with distance dependent connectionsBirgit Kriener, Moritz Helias, Ad Aertsen, et al.
Neural Computation|April 29, 2008
Correlations and population dynamics in cortical networksBirgit Kriener, Tom Tetzlaff, Ad Aertsen, 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.
Nature Communications|July 2, 2025
Brain region-specific gain modulation of place cells by VIP neuronsNora Lenkey, Anna Christina Garvert, Máté Neubrandt, et al.
Journal of Computational Neuroscience|August 28, 2018
Firing-rate models for neurons with a broad repertoire of spiking behaviorsThomas Heiberg, Birgit Kriener, Tom Tetzlaff, et al.
Journal of Computational Neuroscience|June 21, 2013
Firing-rate models capture essential response dynamics of LGN relay cellsThomas Heiberg, Birgit Kriener, Tom Tetzlaff, et al.
Pageof 2