| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9877630 | Physica D: Nonlinear Phenomena | 2005 | 6 Pages |
Abstract
A pulse-coupled neural network is developed to model pattern recognition by the human brain. Inputs and outputs of an idealized neuron are expressed in such a way so as to render a basic equation for the phase shift. A previously studied synergetic computer is capable of pattern recognition; when equations for the pulse-coupled neural network are transformed for comparison to the computer model, pattern recognition results in the limit of dense pulses.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
H. Haken,