List of works - Tom Tetzlaff

A unified view on weakly correlated recurrent networks

scientific article published on 18 October 2013

Correlations and population dynamics in cortical networks.

scientific article published in September 2008

Decorrelation of neural-network activity by inhibitory feedback

scientific article

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

article

Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise.

scientific article published in January 2009

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

scientific article published on 30 October 2014

Echoes in correlated neural systems

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

scientific article published on 8 July 2013

Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study ⬇️

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

scientific article published on 25 August 2020

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

scientific article published on 20 June 2013

Frequency dependence of signal power and spatial reach of the local field potential

scientific article

Invariance of covariances arises out of noise

article

Modeling the spatial reach of the LFP.

scientific article

Neurons hear their echo

Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG.

scientific article

Recurrence and external sources differentially shape network correlations

scientific article published on 8 July 2013

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

scientific article published on 21 June 2022

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

scientific article

The correlation structure of local neuronal networks intrinsically results from recurrent dynamics

scientific article published on 16 January 2014

List of works by Tom Tetzlaff

A unified view on weakly correlated recurrent networks

Correlations and population dynamics in cortical networks.

Decorrelation of neural-network activity by inhibitory feedback

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

Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise.

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

Echoes in correlated neural systems

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

Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study ⬇️

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

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

Frequency dependence of signal power and spatial reach of the local field potential

Invariance of covariances arises out of noise

Modeling the spatial reach of the LFP.

Neurons hear their echo

Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG.

Recurrence and external sources differentially shape network correlations

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

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

The correlation structure of local neuronal networks intrinsically results from recurrent dynamics