2002/03/01 by Wolfgang Kinzel, Ido Kanter, Kinzel, Wolfgang +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Fractal and DNA sequence analysis #Neural Networks and Applications #cond-mat.dis-nn
paper · pdf · doi:10.48550/arxiv.cond-mat/0203011
Invited talk for the meeting of the German Physical Society
arxiv created 2002/03/01 · openalex publication_date 2002/03/01 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Two neural networks which are trained on their mutual output bits are analysed using methods of statistical physics. The exact solution of the dynamics of the two weight vectors shows a novel phenomenon: The networks synchronize to a state with identical time dependent weights. Extending the models to multilayer networks with discrete weights, it is shown how synchronization by mutual learning can be applied to secret key exchange over a public channel.