TT
Tom Tetzlaff
q-bio.NCModels, NeurologicalneuroscienceAction Potentialscs.NENeural Networks, Computerphysics.bio-phactivity statisticsAMAT modelbalanced random networks
On Valency
published · living versionsW_bfu48u9h·v1 · currentpublished
A unified view on weakly correlated recurrent networks
with Dmytro Grytskyy, Markus Diesmann, Moritz Helias
1 version
Preprints & journals
45 papers in the corpus · 2008–2026Learning sequence timing and control of replay speed in networks of spiking neurons2605.22523v1 · Melissa Lober, Younes Bouhadjar, Markus Diesmann et al.2026 · 0 citationsarXiv
Persistent Firing Neurons in the Medial Septum Drive Arousal and Locomotion10.1101/2021.04.23.441122v3 · Marosi, E. L., Korvasova, K., Ludwig, F. et al.2021 · 2 citationsbioRxiv
Constructive community race: full-density spiking neural network model drives neuromorphic computing2505.21185v3 · Johanna Senk, Anno C. Kurth, Steve Furber et al.2025 · 5 citationsarXiv
The variability of tidewater-glacier calving: origin of event-size and interval distributions1205.1640v3 · Anne Chapuis, Tom Tetzlaff2012 · 37 citationsJ. Glaciol. 60 (2014) 622-634
Metadata practices for simulation workflows2408.17309v2 · Jos'e Villamar, Matthias Kelbling, Heather L. More et al.2024 · 3 citationsSci Data 12, 942 (2025)
On the validity of electric brain signal predictions based on population firing rates.40228210 · Ness, Torbjørn V, Tetzlaff, Tom, Einevoll, Gaute T et al.2025 · 11 citationsPLoS computational biology. 2025;21(4):e1012303
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density2212.05354v2 · Agnes Korcsak-Gorzo, Charl Linssen, Jasper Albers et al.2022 · 1 citationarXiv
On the validity of electric brain signal predictions based on population firing rates10.1101/2024.07.10.602833v1 · Ness, T. V., Tetzlaff, T., Einevoll, G. T. et al.2024 · 11 citationsbioRxiv
Coherent noise enables probabilistic sequence replay in spiking neuronal networks2206.10538v2 · Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann et al.2022 · 4 citationsarXiv
Sequence learning in a spiking neuronal network with memristive synapses2211.16592v1 · Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff et al.2022 · 4 citationsarXiv
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations2112.09018v1 · Jasper Albers, Jari Pronold, Anno Christopher Kurth et al.2021 · 15 citationsFront. Neuroinform. 16:837549 (2022)
Conditions for wave trains in spiking neural networks1801.06046v2 · Johanna Senk, Karol'ina Korvasov'a, Jannis Schuecker et al.2018 · 28 citationsPhys. Rev. Research 2, 023174 (2020)
Prominent characteristics of recurrent neuronal networks are robust against low synaptic weight resolution2105.05002v1 · Stefan Dasbach, Tom Tetzlaff, Markus Diesmann et al.2021 · 13 citationsFront. Neurosci. 15:757790 (2021)
Model of multiple synfire chains explains cortical spatio-temporal spike patterns10.1101/2022.08.02.502431v1 · Kleinjohann, A., Berling, D., Stella, A. et al.2022 · 3 citationsbioRxiv
Sequence learning, prediction, and replay in networks of spiking neurons2111.03456v2 · Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann et al.2021 · 19 citationsarXiv
Frequency dependence of signal power and spatial reach of the local field potential1302.4559v1 · Szymon \Leski, Henrik Lind'en, Tom Tetzlaff et al.2013 · 169 citationsarXivon Valency
The correlation structure of local cortical networks intrinsically results from recurrent dynamics1304.2149v3 · Moritz Helias, Tom Tetzlaff, Markus Diesmann2013 · 122 citationsarXivon Valency
A unified view on weakly correlated recurrent networks1304.7945v2 · Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann et al.2013 · 76 citationsarXivon Valency
Hybrid scheme for modeling local field potentials from point-neuron networks1511.01681v2 · Espen Hagen, David Dahmen, Maria L. Stavrinou et al.2015 · 105 citationsarXivon Valency
Deterministic networks for probabilistic computing1710.04931v2 · Jakob Jordan, Mihai A. Petrovici, Oliver Breitwieser et al.2017 · 21 citationsarXiv
Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer's disease1909.01012v1 · Claudia Bachmann, Tom Tetzlaff, Renato Duarte et al.2019 · 21 citationsarXiv
Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.28878643 · Bahuguna, Jyotika, Tetzlaff, Tom, Kumar, Arvind et al.2020 · 14 citationsFrontiers in computational neuroscience. 2017;11:79
Firing-rate models for neurons with a broad repertoire of spiking behaviors.30146661 · Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom et al.2019 · 18 citationsJournal of computational neuroscience. 2018;45(2):103-132
On 1/f^alpha power laws originating from linear neuronal cable theory: power spectral densities of the soma potential, transmembrane current and single-neuron contribution to the EEG1305.2332v2 · Klas H. Pettersen, Henrik Lind'en, Tom Tetzlaff et al.2013 · 57 citationsarXivon Valency
Decorrelation of neural-network activity by inhibitory feedback1204.4393v2 · Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll et al.2012 · 212 citationsarXivon Valency
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses.25400575 · Kriener, Birgit, Enger, Håkon, Tetzlaff, Tom et al.2014 · 60 citationsFrontiers in computational neuroscience. 2014;8:136
Firing-rate models capture essential response dynamics of LGN relay cells.23783890 · Heiberg, Thomas, Kriener, Birgit, Tetzlaff, Tom et al.2014 · 19 citationsJournal of computational neuroscience. 2013;35(3):359-75
Echoes in correlated neural systems1207.0298v4 · Moritz Helias, Tom Tetzlaff, Markus Diesmann2012 · 56 citationsM Helias, T Tetzlaff, M Diesmann (2013). Echoes in correlated neural systems. New J. Phys. 15 023002
Modeling the spatial reach of the LFP.22153380 · Lindén, Henrik, Tetzlaff, Tom, Potjans, Tobias C et al.2012 · 495 citationsNeuron. 2011;72(5):859-72
Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise.19176809 · Boucsein, Clemens, Tetzlaff, Tom, Meier, Ralph et al.2009 · 68 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2009;29(4):1006-10
Dependence of neuronal correlations on filter characteristics and marginal spike train statistics.18439140 · Tetzlaff, Tom, Rotter, Stefan, Stark, Eran et al.2008 · 76 citationsNeural computation. 2008;20(9):2133-84
Correlations and population dynamics in cortical networks.18439141 · Kriener, Birgit, Tetzlaff, Tom, Aertsen, Ad et al.2008 · 111 citationsNeural computation. 2008;20(9):2185-226
Career total: 107 works. 45 are in this corpus.Showing the 32 most recent.
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