Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials
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Publication:4323330
DOI10.1162/neco.1994.6.5.795zbMath0813.92007OpenAlexW2133801355MaRDI QIDQ4323330
Martin Stemmler, Marius Usher, Christof Koch, Zeev Olami
Publication date: 31 May 1995
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://resolver.caltech.edu/CaltechAUTHORS:20120306-140631488
random walkcross-correlation functionsneural activitycortical neuronsinterspike interval variabilitysurround inhibitionlocal excitationtwo-dimensional sheet of leaky integrate-and-fire neurons
Related Items (7)
Including Long-Range Dependence in Integrate-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons ⋮ A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties ⋮ A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input ⋮ Do neurons have a voltage or a current threshold for action potential initiation? ⋮ Estimating the Temporal Interval Entropy of Neuronal Discharge ⋮ Unnamed Item ⋮ Dynamical cell assembly hypothesis -- Theoretical possibility of spatio-temporal coding in the cortex
Cites Work
- Dynamics of pattern formation in lateral-inhibition type neural fields
- Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain
- Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks
- Self-Sustained Firing in Populations of Integrate-and-Fire Neurons
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