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» Probabilistic Models of Neuronal Spike Trains
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ICANN
1997
Springer
13 years 9 months ago
Correlation Coding in Stochastic Neural Networks
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
Raphael Ritz, Terrence J. Sejnowski
BC
2007
81views more  BC 2007»
13 years 5 months ago
Cross-intensity functions and the estimate of spike-time jitter
Correlation measures are important tools for the analysis of simultaneously recorded spike trains. A well-known measure with probabilistic interpretation is the cross-intensity fun...
Richard H. R. Hahnloser
IJON
2000
104views more  IJON 2000»
13 years 5 months ago
Harmonic analysis of spiking neuronal pairs
Harmonic analysis is applied to analyze the transmission of bandlimited signals via spike trains generated by a pair of leaky integrate-and-fire (LIF) model neurons organized in a...
Charles H. Anderson, Qingfeng Huang, John W. Clark
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 12 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
IJON
2007
79views more  IJON 2007»
13 years 5 months ago
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
Stationary spiking of single neurons is often modelled by a renewal point process. Here, we tested the underlying model assumption that the inter-spike intervals are mutually inde...
Martin P. Nawrot, Clemens Boucsein, Victor Rodrigu...