Tom Tetzlaff

Orcid: 0000-0001-5794-5425

According to our database1, Tom Tetzlaff authored at least 27 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Sequence learning in a spiking neuronal network with memristive synapses.
Neuromorph. Comput. Eng., September, 2023


System model of neuromorphic sequence learning on a memristive crossbar array.
Neuromorph. Comput. Eng., June, 2023

Coherent noise enables probabilistic sequence replay in spiking neuronal networks.
PLoS Comput. Biol., 2023

Demonstration of neuromorphic sequence learning on a memristive array.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

2022
Sequence learning, prediction, and replay in networks of spiking neurons.
PLoS Comput. Biol., 2022

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.
Frontiers Neuroinformatics, 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.
CoRR, 2022

2020
Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer's disease.
PLoS Comput. Biol., 2020

The speed of sequence processing in biological neuronal networks.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019
Constraints on sequence processing speed in biological neuronal networks.
Proceedings of the International Conference on Neuromorphic Systems, 2019

2018
Firing-rate models for neurons with a broad repertoire of spiking behaviors.
J. Comput. Neurosci., 2018

2017
Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.
Frontiers Comput. Neurosci., 2017

2015
Reconfıgurable and selectively-adaptive signal processing for multi-mode wireless communication.
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.
PLoS Comput. Biol., 2014

The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics.
PLoS Comput. Biol., 2014

Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses.
Frontiers Comput. Neurosci., 2014

2013
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential.
PLoS Comput. Biol., 2013

Firing-rate models capture essential response dynamics of LGN relay cells.
J. Comput. Neurosci., 2013

A unified view on weakly correlated recurrent networks.
Frontiers Comput. Neurosci., 2013

2012
Decorrelation of Neural-Network Activity by Inhibitory Feedback.
PLoS Comput. Biol., 2012

2010
Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses.
Frontiers Comput. Neurosci., 2010

2008
Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics.
Neural Comput., 2008

Correlations and Population Dynamics in Cortical Networks.
Neural Comput., 2008

2004
Consequences of realistic network size on the stability of embedded synfire chains.
Neurocomputing, 2004

2003
The spread of rate and correlation in stationary cortical networks.
Neurocomputing, 2003

2002
The ground state of cortical feed-forward networks.
Neurocomputing, 2002


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