CNN models of receptive field dynamics of the central visual system neurons

Laszlo Orzo, Karoly Laszlo, L. Négyessy, J. Hámori, T. Roska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper deals with the biological aspects of the receptive field (RP) concept and its possible Cellular Neural Network (CNN) modeling. Three kinds of receptive field definitions are discussed: the experimentally measured RF, the mathematical model of the RF and its anatomical background. Recently, new RF-mapping techniques have revealed that neurons in the visual pathway exhibit striking RF dynamics, which implicates that for adequate characterization, the RF profile has to be examined in the space-time domain. Starting from these findings in the present study the neurons' static RF definition is purified, and some experimental results of De Angelis et al. is modeled by the CNN. Our CNN model indicates that the spatio-temporal RF dynamics can be generated by time invariant synaptic strength values.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
EditorsV. Tavsanoglu
PublisherIEEE
Pages198-203
Number of pages6
Publication statusPublished - 1998
EventProceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA - London, UK
Duration: Apr 14 1998Apr 17 1998

Other

OtherProceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA
CityLondon, UK
Period4/14/984/17/98

Fingerprint

Cellular neural networks
Neurons
Mathematical models

ASJC Scopus subject areas

  • Software

Cite this

Orzo, L., Laszlo, K., Négyessy, L., Hámori, J., & Roska, T. (1998). CNN models of receptive field dynamics of the central visual system neurons. In V. Tavsanoglu (Ed.), Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications (pp. 198-203). IEEE.

CNN models of receptive field dynamics of the central visual system neurons. / Orzo, Laszlo; Laszlo, Karoly; Négyessy, L.; Hámori, J.; Roska, T.

Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. ed. / V. Tavsanoglu. IEEE, 1998. p. 198-203.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Orzo, L, Laszlo, K, Négyessy, L, Hámori, J & Roska, T 1998, CNN models of receptive field dynamics of the central visual system neurons. in V Tavsanoglu (ed.), Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. IEEE, pp. 198-203, Proceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA, London, UK, 4/14/98.
Orzo L, Laszlo K, Négyessy L, Hámori J, Roska T. CNN models of receptive field dynamics of the central visual system neurons. In Tavsanoglu V, editor, Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. IEEE. 1998. p. 198-203
Orzo, Laszlo ; Laszlo, Karoly ; Négyessy, L. ; Hámori, J. ; Roska, T. / CNN models of receptive field dynamics of the central visual system neurons. Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications. editor / V. Tavsanoglu. IEEE, 1998. pp. 198-203
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