T. Tetzlaff

Publications67
h-index19
Citations1,503
Highly Influential Citations89
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Modeling the Spatial Reach of the LFP
The local field potential (LFP) reflects activity of many neurons in the vicinity of the recording electrode and is therefore useful for studying local network dynamics. Much of the nature of the LFP… Expand
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Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
Despite its century-old use, the interpretation of local field potentials (LFPs), the low-frequency part of electrical signals recorded in the brain, is still debated. In cortex the LFP appears to… Expand
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Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
TLDR
Correlated neural activity has been observed at various signal levels (e.g., spike count, membrane potential, local field potential, fMRI BOLD). Expand
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The variability of tidewater-glacier calving: origin of event-size and interval distributions
Calving activity at the termini of tidewater glaciers produces a wide range of iceberg sizes at irregular intervals. We present calving-event data obtained from continuous observations of the termini… Expand
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Decorrelation of Neural-Network Activity by Inhibitory Feedback
TLDR
We show that inhibitory feedback efficiently suppresses pairwise correlations and, hence, population-rate fluctuations, thereby assigning inhibitory neurons the role of active decorrelation. Expand
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Dynamical Response Properties of Neocortical Neuron Ensembles: Multiplicative versus Additive Noise
To understand the mechanisms of fast information processing in the brain, it is necessary to determine how rapidly populations of neurons can respond to incoming stimuli in a noisy environment.… Expand
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How local is the local field potential?
TLDR
The local field potential (LFP), usually referring to the low-frequency part of an extracellularly recorded potential (< 500 Hz), is nowadays routinely measured together with the spiking activity. Expand
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The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics
TLDR
A theory of correlated neuronal activity accounting for recurrent connectivity as well as fluctuating external sources is currently lacking. Expand
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Echoes in correlated neural systems
Correlations are employed in modern physics to explain microscopic and macroscopic phenomena, like the fractional quantum Hall effect and the Mott insulator state in high temperature superconductors… Expand
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Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
TLDR
We show that networks of integrate-and-fire neurons with strong current-based synapses can, unlike previously believed, assume stable states of asynchronous and irregular firing, even without external random background or pacemaker neurons. Expand
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