7
Views
2
CrossRef citations to date
0
Altmetric
Original Article

A mathematical neuron model with dynamically adjustable threshold and refractory period

, &
Pages 415-422 | Received 30 Dec 1991, Published online: 09 Jul 2009
 

Abstract

A variant of the BvP model is proposed. The mechanisms of threshold and refractory period resulting from the double dynamical processes are qualitatively studied through computer simulation. The results show that the variant neuron model has the property that its threshold, refractory period and response amplitude are dynamically adjustable. This paper also discusses some problems relating to collective property, learning and implementation of the neural network based on the neuron model proposed. It is noted that the implicit way to describe threshold and refractory period is advantageous to the adaptive learning in neural networks and that molecular electronics probably provides an effective approach to implementing the above neuron model.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.