Title :
Innovative idea: an oscillatory associative memory
Author :
Brown, A.G. ; Collins, S.
Author_Institution :
DRA, Malvern, UK
Abstract :
An important characteristic of an adaptive analogue information processing device is the ability to self-organise. Biology suggests the Hebb learning rule as a vehicle for this self-organising behaviour, based upon the strengthening of synaptic connections if activity is correlated. Again biology suggests temporal correlations, via phase locking as the mechanism driving this behaviour. Our aim is to design a model of an oscillatory neural network capable of self-organisation
Keywords :
Hebbian learning; Hopfield neural nets; content-addressable storage; feedback; modelling; self-organising feature maps; unsupervised learning; Hebb learning rule; adaptive analogue information processing; model; oscillatory associative memory; phase locking; self-organisation capability; self-organising behaviour; temporal correlations; Associative memory; Biological system modeling; Biological systems; Equations; Network-on-a-chip; Neural network hardware; Neural networks; Phase detection; Unsupervised learning; Vehicles;
Conference_Titel :
Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on
Conference_Location :
Turin
Print_ISBN :
0-8186-6710-9
DOI :
10.1109/ICMNN.1994.593264
