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ICIC
2007
Springer
15 years 10 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
NIPS
2003
15 years 5 months ago
Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
We present test results from spike-timing correlation learning experiments carried out with silicon neurons with STDP (Spike Timing Dependent Plasticity) synapses. The weight chan...
Adria Bofill-i-Petit, Alan F. Murray
ISCAS
2006
IEEE
84views Hardware» more  ISCAS 2006»
15 years 10 months ago
Programmable synaptic weights for an aVLSI network of spiking neurons
—We describe a spiking neuronal network which allows local synaptic weights to be assigned to individual synapses. In previous implementations of neuronal networks, the biases th...
Yingxue Wang, Shih-Chii Liu
IWANN
2007
Springer
15 years 10 months ago
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology
This paper presents configuration methods for an existing neuromorphic hardware and shows first experimental results. The utilized mixed-signal VLSI1 device implements a highly a...
Daniel Brüderle, Andreas Grübl, Karlhein...
151
Voted
KES
2008
Springer
15 years 3 months ago
On the use of spiking neural network for EEG classification
This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website w...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...