Tom Tetzlaff
Tetzlaff, Tom 1976-
VIAF ID: 38086855 (Personal)
Permalink: http://viaf.org/viaf/38086855
Preferred Forms
- 100 1 _ ‡a Tetzlaff, Tom ‡d 1976-
- 100 1 _ ‡a Tetzlaff, Tom ‡d 1976-
- 100 0 _ ‡a Tom Tetzlaff
4xx's: Alternate Name Forms (3)
5xx's: Related Names (1)
- 551 _ _ ‡a Ueckermünde
Works
Title | Sources |
---|---|
The correlation structure of local neuronal networks intrinsically results from recurrent dynamics | |
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. | |
Homologous basal ganglia network models in physiological and parkinsonian conditions | |
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 |