Title :
A data compression scheme employing a biologically inspired model
Author :
Wynn, Tracy A. ; Roberts, Rodney G.
Author_Institution :
Dept. of Electr. Eng., FAMU-FSU Coll. of Eng., Tallahassee, FL, USA
Abstract :
The traditional model in biology for the mode of communication between neurons revolves around the integrate-and-fire model. In this model a neuron will fire only if the amount of incoming signal within a certain amount of time meets or exceeds some threshold (i.e., the incoming signal is integrated). Recent work by Izhikevich (2001) has posed another possible model, which he calls the "resonate-and-fire" model. Details of the model are covered in this paper. This model provides the basis for the ideas discussed below. This paper attempts to show how concepts from Izhikevich\´s research can be used to implement a novel method for data compression. While there are still many challenges to be overcome, it is hoped that a ratio of 4:1 compression may be possible after compression through conventional methods. In addition, an application of these ideas to a simple form of data encryption is discussed.
Keywords :
bioelectric potentials; data compression; neural nets; neurophysiology; physiological models; data compression; data encryption; integrate-and-fire model; neurons; resonate-and-fire model; threshold; Biological system modeling; Computational biology; Cryptography; Data compression; Educational institutions; Fires; Humans; Nerve fibers; Nervous system; Neurons;
Conference_Titel :
System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
Print_ISBN :
0-7803-7339-1
DOI :
10.1109/SSST.2002.1027074