NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ897965
Record Type: Journal
Publication Date: 2010-Sep
Pages: 4
Abstractor: ERIC
Reference Count: 13
ISSN: ISSN-1043-4046
Modeling a Neural Network as a Teaching Tool for the Learning of the Structure-Function Relationship
Salinas, Dino G.; Acevedo, Cristian; Gomez, Christian R.
Advances in Physiology Education, v34 n3 p158-161 Sep 2010
The authors describe an activity they have created in which students can visualize a theoretical neural network whose states evolve according to a well-known simple law. This activity provided an uncomplicated approach to a paradigm commonly represented through complex mathematical formulation. From their observations, students learned many basic principles and concepts of the dynamic systems, all necessary to understand the structure-dynamic relationship. This last relation is one of the main paradigms in the integrated curriculum of many health sciences professionals. In the activity, the authors proposed to students a theoretical "human" neural network, with each student representing a neuron. In this article, they describe some essential aspects used to obtain the dynamics of the neural network. (Contains 1 table and 2 figures.)
American Physiological Society. 9650 Rockville Pike, Bethesda, MD 20814-3991. Tel: 301-634-7164; Fax: 301-634-7241; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A