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» A spiking neuron model: applications and learning
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FPL
2008
Springer
125views Hardware» more  FPL 2008»
13 years 9 months ago
Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
Jim Harkin, Fearghal Morgan, Steve Hall, Piotr Dud...
ICONIP
2008
13 years 9 months ago
Noise-Tolerant Analog Circuits for Sensory Segmentation Based on Symmetric STDP Learning
Abstract. We previously proposed a neural segmentation model suitable for implementation with complementary metal-oxide-semiconductor (CMOS) circuits. The model consists of neural ...
Gessyca Maria Tovar, Tetsuya Asai, Yoshihito Amemi...
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...
ECML
2007
Springer
14 years 1 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
IJCNN
2006
IEEE
14 years 1 months ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier