Abstract
Inspired by the basic processes of molecular biology, our studies resulted in defining a configurable molecule implementing mechanisms made up of simple processes. The goal of our paper is to demonstrate how these bio-inspired mechanisms and their underlying processes perform on cellular architectures. The hardware description of the molecule with all its bio-inspired mechanisms leads to the simulation of an image processing array and an arithmetic and logic unit.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andrejas, J., Trost, A.: Reusable DSP functions in FPGAs. In: Grünbacher, H., Hartenstein, R.W. (eds.) FPL 2000. LNCS, vol. 1896, p. 456. Springer, Heidelberg (2000)
Canham, R., Tyrrell, A.M.: An embryonic array with improved efficiency and fault tolerance. In: Lohn, J., et al. (eds.) Proceedings of the NASA/DoD Conference on Evolvable Hardware (EH 2003), pp. 265–272. IEEE Computer Society, Los Alamitos (2003)
Mange, D., Stauffer, A., Petraglio, E., Tempesti, G.: Self-replicating loop with universal construction. Physica D 191(1-2), 178–192 (2004)
Russ, J.C.: The image processing handbook. CRC Press, Boca Raton (2007)
Stauffer, A., Mange, D., Rossier, J.: Design of self-organizing bio-inspired systems. In: Arslan, T., Stoica, A., Suess, M., Keymeulen, D., Higuchi, T., Magness, R., Aydin, N., Erdogan, T. (eds.) Proceedings of the 2007 NASA/ESA Conference on Evolvable Adaptative Hardware and Systems (AHS 2007), pp. 413–419. IEEE Computer Society, Los Alamitos (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stauffer, A., Rossier, J. (2010). Bio-inspired Self-testing Configurable Circuits. In: Tempesti, G., Tyrrell, A.M., Miller, J.F. (eds) Evolvable Systems: From Biology to Hardware. ICES 2010. Lecture Notes in Computer Science, vol 6274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15323-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-15323-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15322-8
Online ISBN: 978-3-642-15323-5
eBook Packages: Computer ScienceComputer Science (R0)