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» Polychronization: Computation with Spikes
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IMAGING
2000
13 years 9 months ago
A Composite Spectral Model and Its Applications
A new spectral representation called the composite model is proposed. Its key point is to decompose all spectra into a smooth background and a collection of spikes. The smooth par...
Yinlong Sun, F. David Fracchia, Mark S. Drew
BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
13 years 7 months ago
Event-driven simulation of neural population synchronization facilitated by electrical coupling
Most neural communication and processing tasks are driven by spikes. This has enabled the application of the event-driven simulation schemes. However the simulation of spiking neu...
Richard R. Carrillo, Eduardo Ros, Boris Barbour, C...
IJON
2002
91views more  IJON 2002»
13 years 7 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
ICASSP
2011
IEEE
12 years 11 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...
ESANN
2008
13 years 9 months ago
Neural networks for computational neuroscience
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
David Meunier, Hélène Paugam-Moisy