An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns

Details An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns

1998-12-11

arxiv.org/abs/cond-mat/9812198v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

9 pages, 3 Postscript figures, uses epsbox.sty

Scientific paper

10.1103/PhysRevLett.83.1062

Little is known theoretically about the associative memory capabilities of neural networks in which information is encoded not only in the mean firing rate but also in the timing of firings. Particularly, in the case that the fraction of active neurons involved in memorizing patterns becomes small, it is biologically important to consider the timings of firings and to study how such consideration influences storage capacities and quality of recalled patterns. For this purpose, we propose a simple extended model of oscillator neural networks to allow for expression of non-firing state. %which is able to memorize sparsely coded phase patterns including non-firing states. Analyzing both equilibrium states and dynamical properties in recalling processes, we find that the system possesses good associative memory.

Affiliated with

Also associated with

No associations

Rating

An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-38407