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» Spike Trains in Spiking Neural P Systems
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NECO
2002
63views more  NECO 2002»
13 years 7 months ago
The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis
Emery N. Brown, Riccardo Barbieri, Valérie ...
JCNS
2010
85views more  JCNS 2010»
13 years 6 months ago
Causal pattern recovery from neural spike train data using the Snap Shot Score
Christoph Echtermeyer, Tom V. Smulders, V. Anne Sm...
BC
2007
81views more  BC 2007»
13 years 7 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
ISCAS
2008
IEEE
170views Hardware» more  ISCAS 2008»
14 years 1 months ago
Integrated circuit implementation of a cortical neuron
— This paper presents an analogue integrated circuit implementation of a cortical neuron model. The VLSI chip prototype has been implemented in a 0.35 µm CMOS technology. The si...
Jayawan H. B. Wijekoon, Piotr Dudek
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...