NDLI: A data compression scheme employing a biologically inspired model

Content Provider	IEEE Xplore Digital Library
Author	Wynn, T.A. Roberts, R.G.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. Eng., FAMU-FSU Coll. of Eng., Tallahassee, FL, USA (Wynn, T.A.; Roberts, R.G.)
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.
Starting Page	391
Ending Page	395
File Size	435621
Page Count	5
File Format	PDF
ISBN	0780373391
ISSN	00942898
DOI	10.1109/SSST.2002.1027074
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-03-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data compression Biological system modeling Neurons Nerve fibers Fires Humans Educational institutions Computational biology Cryptography Nervous system
Content Type	Text
Resource Type	Article

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