Tom Tetzlaff

According to our database, Tom Tetzlaff authored at least 28 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Metadata practices for simulation workflows.

Jose Villamar, Matthias Kelbling, Heather L. More, Michael Denker, Tom Tetzlaff, Johanna Senk, Stephan Thober

CoRR, 2024

2023

Sequence learning in a spiking neuronal network with memristive synapses.

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters

Neuromorph. Comput. Eng., September, 2023

NESTML 6.0.0.

Charl A. P. Linssen, Pooja N. Babu, Levin Schmidt, Tom Tetzlaff, Maryada, Mohamed Ayssar Benelhedi, Jochen M. Eppler, Bernhard Rumpe, Abigail Morrison

Dataset, September, 2023

System model of neuromorphic sequence learning on a memristive crossbar array.

Sebastian Siegel, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J. Wouters

Neuromorph. Comput. Eng., June, 2023

Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

PLoS Comput. Biol., 2023

Demonstration of neuromorphic sequence learning on a memristive array.

Sebastian Siegel, Tobias Ziegler, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J. Wouters

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

2022

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

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

PLoS Comput. Biol., 2022

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.

Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, Dennis Terhorst, Jakob Jordan, Susanne Kunkel, Tom Tetzlaff, Markus Diesmann, Johanna Senk

Frontiers Neuroinformatics, 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.

Agnes Korcsak-Gorzo, Charl A. P. Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada

CoRR, 2022

2020

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

Claudia Bachmann, Tom Tetzlaff, Renato C. Duarte, Abigail Morrison

PLoS Comput. Biol., 2020

The speed of sequence processing in biological neuronal networks.

Younes Bouhadjar, Markus Diesmann, Dirk J. Wouters, Tom Tetzlaff

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

Constraints on sequence processing speed in biological neuronal networks.

Younes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Firing-rate models for neurons with a broad repertoire of spiking behaviors.

Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Gaute T. Einevoll, Hans E. Plesser

J. Comput. Neurosci., 2018

2017

Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.

Jyotika Bahuguna, Tom Tetzlaff, Arvind Kumar, Jeanette Hellgren Kotaleski, Abigail Morrison

Frontiers Comput. Neurosci., 2017

2015

Reconfıgurable and selectively-adaptive signal processing for multi-mode wireless communication.

Farhana Sheikh, Oskar Andersson, Ching-En Lee, Feng Xue, Chia-Hsiang Chen, Anuja Vaidya, Ankit Sharma, Tom Tetzlaff

Proceedings of the 2015 IEEE Workshop on Signal Processing Systems, 2015

2014

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

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

PLoS Comput. Biol., 2014

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

Moritz Helias, Tom Tetzlaff, Markus Diesmann

PLoS Comput. Biol., 2014

Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses.

Birgit Kriener, Håkon Enger, Tom Tetzlaff, Hans Ekkehard Plesser, Marc-Oliver Gewaltig, Gaute T. Einevoll

Frontiers Comput. Neurosci., 2014

2013

Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential.

Szymon Leski, Henrik Lindén, Tom Tetzlaff, Klas H. Pettersen, Gaute T. Einevoll

PLoS Comput. Biol., 2013

Firing-rate models capture essential response dynamics of LGN relay cells.

Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Alex Casti, Gaute T. Einevoll, Hans E. Plesser

J. Comput. Neurosci., 2013

A unified view on weakly correlated recurrent networks.

Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias

Frontiers Comput. Neurosci., 2013

2012

Decorrelation of Neural-Network Activity by Inhibitory Feedback.

Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann

PLoS Comput. Biol., 2012

2010

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

Eilen Nordlie, Tom Tetzlaff, Gaute T. Einevoll

Frontiers Comput. Neurosci., 2010

2008

Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics.

Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen, Markus Diesmann

Neural Comput., 2008

Correlations and Population Dynamics in Cortical Networks.

Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter

Neural Comput., 2008

2004

Consequences of realistic network size on the stability of embedded synfire chains.

Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann

Neurocomputing, 2004

2003

The spread of rate and correlation in stationary cortical networks.

Tom Tetzlaff, Michael Buschermöhle, Theo Geisel, Markus Diesmann

Neurocomputing, 2003

2002

The ground state of cortical feed-forward networks.

Tom Tetzlaff, Theo Geisel, Markus Diesmann

Neurocomputing, 2002