ORGANIC: Self-organized recurrent neural learing for language processing

01 April 2009 → 31 March 2012
European funding: framework programme
Research disciplines
  • Engineering and technology
    • Arithmetic and logic structures
    • Computer architecture and organisation
    • Input, output and data devices
    • Analogue and digital signal processing
    • Other computer engineering, information technology and mathematical engineering not elsewhere classified
recurrent neural network reservoir computing speech recognition handwriting recognition
Project description

ORGANICE adopts principles of cortical architectures and self-organizing neurodynamics for the design of a new type of cognitive architectures. The principle inovations are deep multilevel learning based on recurrent networks using purely dynamic representations and trained both supervised and unsupervised. These techniques will be applied to large vocabulary speech recognition in noisy environments, end on handwriting recognition.