Advertisement

Application of CNGM to Learning and Memory

  • Lubica Benuskova
  • Nikola Kasabov
Chapter
Part of the Topics in Biomedical Engineering. International Book Series book series (ITBE)

Abstract

Before we introduce a tentative CNGM of learning and memory at a cellular level, we need to consider the relevant rules of synaptic plasticity, which represent knowledge about the basic mechanisms of cellular and molecular memory storage. Then we need to enhance these rules with connections to gene/protein regulatory network (GPRN) of genes and proteins that are relevant to learning and memory. Finally, a provisional CNGM of learning and memory will be constructed. In what follows, we will discuss only the activity-dependent plasticity of excitatory synaptic connections of the brain, because they are thought to mediate the information storage within biological neural networks (Kandel et al. 2000).

Keywords

Synaptic Plasticity Modification Threshold Postsynaptic Membrane High Frequency Stimulation CREB Phosphorylation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science + Business Media, LLC 2007

Authors and Affiliations

  • Lubica Benuskova
    • 1
  • Nikola Kasabov
    • 1
  1. 1.Knowledge Engineering and Discovery Research InstituteAUTAucklandNew Zealand

Personalised recommendations