Tom Tetzlaff
Tom Tetzlaff
Jülich Research Centre, Germany
Verified email at - Homepage
Cited by
Cited by
Modeling the spatial reach of the LFP
H Lindén, T Tetzlaff, TC Potjans, KH Pettersen, S Grün, M Diesmann, ...
Neuron 72 (5), 859-872, 2011
Decorrelation of neural-network activity by inhibitory feedback
T Tetzlaff, M Helias, GT Einevoll, M Diesmann
Public Library of Science 8 (8), e1002596, 2012
Frequency dependence of signal power and spatial reach of the local field potential
S Łęski, H Lindén, T Tetzlaff, KH Pettersen, GT Einevoll
PLoS computational biology 9 (7), e1003137, 2013
The correlation structure of local neuronal networks intrinsically results from recurrent dynamics
M Helias, T Tetzlaff, M Diesmann
PLoS computational biology 10 (1), e1003428, 2014
Correlations and population dynamics in cortical networks
B Kriener, T Tetzlaff, A Aertsen, M Diesmann, S Rotter
Neural computation 20 (9), 2185-2226, 2008
Hybrid scheme for modeling local field potentials from point-neuron networks
E Hagen, D Dahmen, ML Stavrinou, H Lindén, T Tetzlaff, SJ Van Albada, ...
Cerebral cortex, 1-36, 2016
A unified view on weakly correlated recurrent networks
D Grytskyy, T Tetzlaff, M Diesmann, M Helias
Frontiers in computational neuroscience 7, 131, 2013
Dependence of neuronal correlations on filter characteristics and marginal spike train statistics
T Tetzlaff, S Rotter, E Stark, M Abeles, A Aertsen, M Diesmann
Neural computation 20 (9), 2133-2184, 2008
Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise
C Boucsein, T Tetzlaff, R Meier, A Aertsen, B Naundorf
Journal of Neuroscience 29 (4), 1006-1010, 2009
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
B Kriener, H Enger, T Tetzlaff, HE Plesser, MO Gewaltig, GT Einevoll
Frontiers in computational neuroscience 8, 136, 2014
Echoes in correlated neural systems
M Helias, T Tetzlaff, M Diesmann
New journal of physics 15 (2), 023002, 2013
Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG
KH Pettersen, H Lindén, T Tetzlaff, GT Einevoll
PLoS computational biology 10 (11), e1003928, 2014
Rate dynamics of leaky integrate-and-fire neurons with strong synapses
E Nordlie, T Tetzlaff, GT Einevoll
Frontiers in computational neuroscience 4, 149, 2010
The variability of tidewater-glacier calving: origin of event-size and interval distributions
A Chapuis, T Tetzlaff
Journal of glaciology 60 (222), 622-634, 2014
The spread of rate and correlation in stationary cortical networks
T Tetzlaff, M Buschermöhle, T Geisel, M Diesmann
Neurocomputing 52, 949-954, 2003
The ground state of cortical feed-forward networks
T Tetzlaff, T Geisel, M Diesmann
Neurocomputing 44, 673-678, 2002
Effect of heterogeneity on decorrelation mechanisms in spiking neural networks: a neuromorphic-hardware study
T Pfeil, J Jordan, T Tetzlaff, A Grübl, J Schemmel, M Diesmann, K Meier
Physical Review X 6 (2), 021023, 2016
Local field potential: biophysical origin and analysis
GT Einevoll, H Lindén, T Tetzlaff, S Łeski, KH Pettersen
Principles of neural coding, 37-59, 2013
Firing-rate models capture essential response dynamics of LGN relay cells
T Heiberg, B Kriener, T Tetzlaff, A Casti, GT Einevoll, HE Plesser
Journal of computational neuroscience 35, 359-375, 2013
Conditions for wave trains in spiking neural networks
J Senk, K Korvasová, J Schuecker, E Hagen, T Tetzlaff, M Diesmann, ...
Physical review research 2 (2), 023174, 2020
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