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NECO
2011
9 years 6 months ago
Mechanisms That Modulate the Transfer of Spiking Correlations
Correlations between neuronal spike trains impact network dynamics and population coding. Overlapping afferent populations and correlations between presynaptic spike trains intro...
Robert Rosenbaum, Kresimir Josic
CORR
2007
Springer
140views Education» more  CORR 2007»
9 years 11 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
IJFCS
2006
77views more  IJFCS 2006»
9 years 11 months ago
Spike Trains in Spiking Neural P Systems
We continue here the study of the recently introduced spiking neural P systems, which mimic the way that neurons communicate with each other by means of short electrical impulses, ...
Gheorghe Paun, Mario J. Pérez-Jiméne...
NIPS
2000
10 years 29 days ago
Finding the Key to a Synapse
Experimental data have shown that synapses are heterogeneous: different synapses respond with different sequences of amplitudes of postsynaptic responses to the same spike train. ...
Thomas Natschläger, Wolfgang Maass
NIPS
2007
10 years 1 months ago
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
Dominik Endres, Mike W. Oram, Johannes E. Schindel...
ICANN
2003
Springer
10 years 4 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
IJCNN
2007
IEEE
10 years 6 months ago
Spectral Clustering of Synchronous Spike Trains
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
António R. C. Paiva, Sudhir Rao, Il Park, J...
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