Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses

por Nordlie, Eilen, Tetzlaff, Tom, Einevoll, Gaute T.
Publicado 2010

Neurons hear their echo

por Helias, Moritz, Tetzlaff, Tom, Diesmann, Markus
Publicado 2010

Towards a unified theory of correlations in recurrent neural networks

por Helias, Moritz, Tetzlaff, Tom, Diesmann, Markus
Publicado 2011

Recurrence and external sources differentially shape network correlations

por Helias, Moritz, Tetzlaff, Tom, Diesmann, Markus
Publicado 2013

The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics

por Helias, Moritz, Tetzlaff, Tom, Diesmann, Markus
Publicado 2014

Decorrelation of low-frequency neural activity by inhibitory feedback

por Tetzlaff, Tom, Helias, Moritz, Einevoll, Gaute T, Diesmann, Markus
Publicado 2010

Persistent localized activity in a two-population neural-field model with spatio-temporal external input

por Yousaf, Muhammad, Einevoll, Gaute T, Tetzlaff, Tom, Wyller, John
Publicado 2011

Taming the model zoo: a unified view on correlations in recurrent networks

por Grytskyy, Dmytro, Helias, Moritz, Tetzlaff, Tom, Diesmann, Markus
Publicado 2012

Decorrelation of Neural-Network Activity by Inhibitory Feedback

por Tetzlaff, Tom, Helias, Moritz, Einevoll, Gaute T., Diesmann, Markus
Publicado 2012

A unified view on weakly correlated recurrent networks

por Grytskyy, Dmytro, Tetzlaff, Tom, Diesmann, Markus, Helias, Moritz
Publicado 2013

Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer’s disease

por Bachmann, Claudia, Tetzlaff, Tom, Duarte, Renato, Morrison, Abigail
Publicado 2020

Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution

por Dasbach, Stefan, Tetzlaff, Tom, Diesmann, Markus, Senk, Johanna
Publicado 2021

Coherent noise enables probabilistic sequence replay in spiking neuronal networks

por Bouhadjar, Younes, Wouters, Dirk J., Diesmann, Markus, Tetzlaff, Tom
Publicado 2023

The ball and stick neuron model accounts both for microscopic and macroscopic power laws

por Pettersen, Klas H, Lindén, Henrik, Tetzlaff, Tom, Einevoll, Gaute T
Publicado 2011

Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG

por Pettersen, Klas H., Lindén, Henrik, Tetzlaff, Tom, Einevoll, Gaute T.
Publicado 2014

Sequence learning, prediction, and replay in networks of spiking neurons

por Bouhadjar, Younes, Wouters, Dirk J., Diesmann, Markus, Tetzlaff, Tom
Publicado 2022

Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks

por Bachmann, Claudia, Tetzlaff, Tom, Kunkel, Susanne, Bamberger, Philipp, Morrison, Abigail
Publicado 2013

Spatial reach of the local field potential is frequency dependent

por Łęski, Szymon, Lindén, Henrik, Tetzlaff, Tom, Pettersen, Klas H, Einevoll, Gaute T
Publicado 2011

Dynamics of self-sustained activity in random networks with strong synapses

por Enger, Håkon, Tetzlaff, Tom, Kriener, Birgit, Gewaltig, Marc-Oliver, Einevoll, Gaute T
Publicado 2011

Rate dynamics of the retina-LGN connection

por Heiberg, Thomas, Tetzlaff, Tom, Kriener, Birgit, Plesser, Hans E, Einevoll, Gaute T
Publicado 2011