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» On the use of spiking neural network for EEG classification
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IROS
2008
IEEE
250views Robotics» more  IROS 2008»
14 years 3 months ago
Mobile robot broadband sound localisation using a biologically inspired spiking neural network
— A biologically inspired azimuthal broadband sound localisation system is introduced to simulates the functional organisation of the human auditory midbrain up to the inferior c...
Jindong Liu, Harry R. Erwin, Stefan Wermter
IJON
2008
49views more  IJON 2008»
13 years 8 months ago
Processing visual stimuli using hierarchical spiking neural networks
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
14 years 3 months ago
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
ICASSP
2011
IEEE
13 years 13 days ago
Multichannel EEG analysis based on multi-scale multi-information
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Ying Liu, Selin Aviyente
ICANN
2001
Springer
14 years 1 months ago
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps
EEG segments recorded during microsleep events were transformed to the frequency domain and were subsequently clustered without the common summation of power densities in spectral ...
David Sommer, Martin Golz