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» Clustering neural spike trains with transient responses
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CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
13 years 11 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
ICANN
2003
Springer
13 years 9 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
NN
2002
Springer
114views Neural Networks» more  NN 2002»
13 years 4 months ago
Synapses as dynamic memory buffers
This article throws new light on the possible role of synapses in information transmission through theoretical analysis and computer simulations. We show that the internal dynamic...
Wolfgang Maass, Henry Markram
IJCNN
2007
IEEE
13 years 10 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...
ESANN
2006
13 years 5 months ago
Nonlinear transient computation and variable noise tolerance
A novel nonlinear transient computation device is presented which is designed to perform computations on multiple spike-train input signals. The input signals perturb the internal ...
Nigel Crook