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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 LFPExpand
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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 toExpand
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Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics
Correlated neural activity has been observed at various signal levels (e.g., spike count, membrane potential, local field potential, EEG, fMRI BOLD). Most of these signals can be considered asExpand
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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 terminiExpand
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Decorrelation of Neural-Network Activity by Inhibitory Feedback
Correlations in spike-train ensembles can seriously impair the encoding of information by their spatio-temporal structure. An inevitable source of correlation in finite neural networks is commonExpand
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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?
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
Correlated neuronal activity is a natural consequence of network connectivity and shared inputs to pairs of neurons, but the task-dependent modulation of correlations in relation to behavior alsoExpand
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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 superconductorsExpand
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Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
Random networks of integrate-and-fire neurons with strong current-based synapses can, unlike previously believed, assume stable states of sustained asynchronous and irregular firing, even withoutExpand
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