Birgit Kriener

University of Oslo — Norway

Neuroscience · Life Sciences

12h-index478citations33works0.02yr avg
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Research Topics

Neural dynamics and brain function(24), stochastic dynamics and bifurcation(14), Advanced Memory and Neural Computing(12), Photoreceptor and optogenetics research(6), Neuroscience and Neuropharmacology Research(5)

Publications33 total

3D spatial sampling to quantify morphologic heterogeneity in isocitrate dehydrogenase-wildtype glioblastoma
Journal of Neuropathology & Experimental Neurology·2025Open Access
Brain region-specific gain modulation of place cells by VIP neurons
Nature Communications·2025Open Access
Connectivity concepts in neuronal network modeling
PLoS Computational Biology·2022· 46 citedOpen Access
Parvalbumin interneuron dendrites enhance gamma oscillations
Cell Reports·2022· 43 citedOpen Access
Connectivity Concepts in Neuronal Network Modeling
Kölner Universitäts PublikationsServer (Universität zu Köln)·2021Open Access
Parvalbumin interneuron dendrites enhance gamma oscillations
2021· 3 citedOpen Access
Parvalbumin Interneuron Dendrites Enhance Gamma Oscillations
SSRN Electronic Journal·2021Open Access
Robust parallel decision-making in neural circuits with nonlinear inhibition
Proceedings of the National Academy of Sciences·2020· 13 citedOpen Access
NeuroModelingTalk (NMT) Approaching the complexity barrier in neuroscientific modeling
2020
Connectivity Concepts for Neuronal Networks
JuSER (Forschungszentrum Jülich)·2019· 1 cited
Firing-rate models for neurons with a broad repertoire of spiking behaviors
Journal of Computational Neuroscience·2018· 16 citedOpen Access
Robust parallel decision-making in neural circuits with nonlinear inhibition
2017Open Access
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
Frontiers in Computational Neuroscience·2014· 59 citedOpen Access
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
Frontiers in Computational Neuroscience·2014· 37 citedOpen Access
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
BMC Neuroscience·2013· 3 citedOpen Access
Firing-rate models for neurons with a broad repertoire of spiking behaviors
BMC Neuroscience·2013· 2 citedOpen Access
Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses
BMC Neuroscience·2013Open Access
Firing-rate models capture essential response dynamics of LGN relay cells
Journal of Computational Neuroscience·2013· 16 citedOpen Access
Generation and annihilation of localized persistent-activity states in a two-population neural-field model
Neural Networks·2013· 7 citedOpen Access
A Python test suite for statistical properties of probabilistic networks with and without spatial structure
Frontiers in Neuroinformatics·2013Open Access
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Frequent Co-authors

Hans Ekkehard Pleßer(12), Gaute T. Einevoll(10), Tom Tetzlaff(8), Mikael Djurfeldt(7), Markus Diesmann(6), Marc-Oliver Gewaltig(5), Sacha J. van Albada(5), Stefan Rotter(4), Johanna Senk(4), Nicole Voges(4), Koen Vervaeke(4), Lars Schwabe(4), Thomas Heiberg(4), Lisa Schüttler(3), Gabriele Gramelsberger(3), Moritz Helias(3), Hua Hu(3), Robert C. Cannon(3), Andrew P. Davison(3), Marc Timme(3)