Chaos, multiplicity, crisis, and synchronicity in higher order neural networks
We study a randomly diluted higher-order network of spinlike neurons that interact via Hebbian-type connections and derive and solve exact dynamical equations for a general block-sequential updating algorithm. The system has a variety of static and oscillatory solutions. The bifurcation parameters i...
Saved in:
Main Authors: | Wang, Lipo., Ross, John. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/94715 http://hdl.handle.net/10220/8128 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
System identification using neural networks and higher order statistics
by: Ngai, Chee Leong.
Published: (2009) -
Blind equalization using neural networks and higher order statistics
by: Li, Rui.
Published: (2008) -
Invariant pattern recognition with higher-order neural networks
by: He, Zhengquan.
Published: (2008) -
Synchronous generator fault diagnosis based on neural network
by: Su, Yuqi
Published: (2018) -
Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences
by: Wang, Lipo.
Published: (2012)