Title :
An oscillatory neural network scheme for temporal encoding and stimulus recognition
Author :
Ward, Tim ; De Paor, A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Nat. Univ. of Ireland, Dublin, Ireland
Abstract :
A novel computational neuro-architecture based on the phase resetting properties of physiologically based neural oscillators is proposed, analog input variables are encoded in the patterns of the firing times with individual recognition units operating as radial basis-functions
Keywords :
encoding; neural net architecture; neurophysiology; oscillations; radial basis function networks; analog input variables encoding; computational neuroarchitecture; firing times patterns; individual recognition units; oscillatory neural network scheme; phase resetting properties; physiologically based neural oscillators; stimulus recognition; temporal encoding; Delay effects; Encoding; Feeds; Neural networks; Neurons; Oscillators; Pattern matching; Pattern recognition; Signal generators; Timing;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802470