Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks
Kaulmann T, Ferber M, Witkowski U, Rückert U (2005)
In: Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN). Cabestany J, Prieto A, Sandoval DF (Eds); Lecture notes in computer science, 3512(3512). Berlin, Heidelberg: Springer Berlin Heidelberg: 455-462.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Kaulmann, Tim;
Ferber, Markus;
Witkowski, Ulf;
Rückert, UlrichUniBi
Herausgeber*in
Cabestany, J.;
Prieto, A.;
Sandoval, D.F.
Abstract / Bemerkung
An analog VLSI implementation of adaptive synapses being part of an associative memory realised with pulsed neurons is presented. VLSI implementations of dynamic synapses and pulsed neurons are expected to provide robustness and low energy consumption like observed in the human brain. We have developed a VLSI implementation of synaptic connections for an associative memory which is used in a biological inspired image processing system using pulse coded neural networks. The system consists of different layers for feature extraction to decompose the image in several features. The pulsed associative memory is used for completing or binding features. In this paper, we focus on the dynamics and the analog implementation of adaptive synapses. The discussed circuits were designed in a 130 nm CMOS process.
Erscheinungsjahr
2005
Titel des Konferenzbandes
Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN)
Serien- oder Zeitschriftentitel
Lecture notes in computer science
Band
3512
Ausgabe
3512
Seite(n)
455-462
ISBN
9783540262084
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/2288861
Zitieren
Kaulmann T, Ferber M, Witkowski U, Rückert U. Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks. In: Cabestany J, Prieto A, Sandoval DF, eds. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN). Lecture notes in computer science. Vol 3512. Berlin, Heidelberg: Springer Berlin Heidelberg; 2005: 455-462.
Kaulmann, T., Ferber, M., Witkowski, U., & Rückert, U. (2005). Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks. In J. Cabestany, A. Prieto, & D. F. Sandoval (Eds.), Lecture notes in computer science: Vol. 3512. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN) (pp. 455-462). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/11494669_56
Kaulmann, Tim, Ferber, Markus, Witkowski, Ulf, and Rückert, Ulrich. 2005. “Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks”. In Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN), ed. J. Cabestany, A. Prieto, and D.F. Sandoval, 3512:455-462. Lecture notes in computer science. Berlin, Heidelberg: Springer Berlin Heidelberg.
Kaulmann, T., Ferber, M., Witkowski, U., and Rückert, U. (2005). “Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks” in Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN), Cabestany, J., Prieto, A., and Sandoval, D. F. eds. Lecture notes in computer science, vol. 3512, (Berlin, Heidelberg: Springer Berlin Heidelberg), 455-462.
Kaulmann, T., et al., 2005. Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks. In J. Cabestany, A. Prieto, & D. F. Sandoval, eds. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN). Lecture notes in computer science. no.3512 Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 455-462.
T. Kaulmann, et al., “Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks”, Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN), J. Cabestany, A. Prieto, and D.F. Sandoval, eds., Lecture notes in computer science, vol. 3512, Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp.455-462.
Kaulmann, T., Ferber, M., Witkowski, U., Rückert, U.: Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks. In: Cabestany, J., Prieto, A., and Sandoval, D.F. (eds.) Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN). Lecture notes in computer science. 3512, p. 455-462. Springer Berlin Heidelberg, Berlin, Heidelberg (2005).
Kaulmann, Tim, Ferber, Markus, Witkowski, Ulf, and Rückert, Ulrich. “Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks”. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (IWANN). Ed. J. Cabestany, A. Prieto, and D.F. Sandoval. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.Vol. 3512. Lecture notes in computer science. 455-462.
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