Abstract
The ubichip is a bio-inspired reconfigurable circuit developed in the framework of the european project Perplexus. The ubichip offers special reconfigurability capabilities as self-replication and dynamic routing. This paper describes how to exploit the dynamic routing capabilities of the ubichip in order to implement plastic neural networks. We present an approach for dynamically generating a network topology, where synapses among neurons can be created or destroyed depending on the input stimuli. We describe their implementation in the ubichip, and we analyse the resulting network topology and the network development. This work constitutes a first step toward plastic neural circuits exhibiting more realistic biological features.
This is a preview of subscription content, log in via an institution to check access.
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
Upegui, A., Thoma, Y., Sanchez, E., Perez-Uribe, A., Moreno, J., Madrenas, J.: The Perplexus bio-inspired reconfigurable circuit. In: Arslan, T., et al. (eds.) Proc. 2nd NASA/ESA AHS 2007, pp. 600–605. IEEE Computer Society, Los Alamitos (2007)
Sanchez, E., Perez-Uribe, A., Upegui, A., Thoma, Y., Moreno, J., Villa, A., Volken, H., Napieralski, A., Sassatelli, G., Lavarec, E.: PERPLEXUS: Pervasive computing framework for modeling complex virtually-unbounded systems. In: Arslan, T., et al. (eds.) Proc. 2nd NASA/ESA AHS 2007, pp. 587–591. IEEE Computer Society, Los Alamitos (2007)
Yao, X.: Evolving artificial neural networks. Proceedings of the IEEE 87(9), 1423–1447 (1999)
Reed, R.: Pruning algorithms - a survey. IEEE Transactions on Neural Networks 4(5), 740–747 (1993)
Grossberg, S.: The link between brain learning, attention, and consciousness. Consciousness and Cognition (8), 1–44 (1999)
Cangelosi, A., Nolfi, S., Parisi, D.: Cell division and migration in a ’genotype’ for neural networks. Computation in Neural Systems (5), 497–515 (1994)
Upegui, A., Thoma, Y., Perez-Uribe, A., Sanchez, E.: Dynamic routing on the ubichip: Toward synaptogenetic neural networks. In: Proc. 3rd NASA/ESA AHS 2008. IEEE Computer Society Press, Los Alamitos (2008)
Thoma, Y., Upegui, A., Perez-Uribe, A., Sanchez, E.: Self-replication mechanism by means of self-reconfiguration. In: Lukowicz, P., Thiele, L., Tröster, G. (eds.) ARCS 2007. LNCS, vol. 4415, pp. 105–112. Springer, Heidelberg (2007)
Thoma, Y., Sanchez, E.: An adaptive FPGA and its distributed routing. In: Proc. ReCoSoc 2005, Montpellier - France, pp. 43–51 (June 2005)
Sporns, O., Chialvo, D.R., Kaiser, M., Hilgetag, C.C.: Organization, development and function of complex brain networks. Trends Cogn. Sci. 8(9), 418–425 (2004)
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.: Complex networks: Structure and dynamics. Physics Reports 424(4–5), 175–308 (2006)
Hubel, D.H., Wiesel, T.N.: The period of susceptibility to the physiological effects of unilateral eye closure in kittens. J. Physiol. 206(2), 419–436 (1970)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Upegui, A., Perez-Uribe, A., Thoma, Y., Sanchez, E. (2008). Neural Development on the Ubichip by Means of Dynamic Routing Mechanisms. In: Hornby, G.S., Sekanina, L., Haddow, P.C. (eds) Evolvable Systems: From Biology to Hardware. ICES 2008. Lecture Notes in Computer Science, vol 5216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85857-7_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-85857-7_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85856-0
Online ISBN: 978-3-540-85857-7
eBook Packages: Computer ScienceComputer Science (R0)