The effect of molecular inhibition on evolutionary learning: Studies in the hypernetwork architecture

  • Segovia-Juarez J
  • Colombano S
  • 5

    Readers

    Mendeley users who have this article in their library.
  • 2

    Citations

    Citations of this article.

Abstract

The hypernetwork architecture is a biologically inspired learning model based on abstract molecules and molecular interactions that exhibits functional and organizational correlation with biological systems. Hypernetwork organisms were trained, by molecular evolution, to solve N-input parity tasks. We found that learning improves when molecules exhibit inhibitory sites, allowing molecular inhibition and opening the possibility of forming negative feedback regulatory pathways. Optimal learning is achieved when at least 20% of the molecules in each cell have inhibitory sites. Intra-cellular as well as inter-cellular molecular inhibitions play an important role in the information processing of hypernetwork organisms, by maintaining a balance of the molecular cascade reactions. Similar mechanisms inside neurons are considered important for memory. © 2002 Elsevier Science Ireland Ltd. All rights reserved.

Author-supplied keywords

  • Biological information processing
  • Evolutionary learning
  • Homeostasis
  • Inhibition
  • Molecular regulation

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Jose L. Segovia-Juarez

  • Silvano Colombano

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free