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Receptor response and soma leakiness in a simulated spiking neural controller for a robot

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Receptor response and soma leakiness in a simulated spiking neural controller for a robot. / Bowes, D.; Adams, R.; Cañamero, L. et al.
Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing. Vol. 1 2008. p. 100-106.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Bowes, D, Adams, R, Cañamero, L, Steuber, V & Davey, N 2008, Receptor response and soma leakiness in a simulated spiking neural controller for a robot. in Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing. vol. 1, pp. 100-106. https://doi.org/10.5220/0001509001000106

APA

Bowes, D., Adams, R., Cañamero, L., Steuber, V., & Davey, N. (2008). Receptor response and soma leakiness in a simulated spiking neural controller for a robot. In Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (Vol. 1, pp. 100-106) https://doi.org/10.5220/0001509001000106

Vancouver

Bowes D, Adams R, Cañamero L, Steuber V, Davey N. Receptor response and soma leakiness in a simulated spiking neural controller for a robot. In Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing. Vol. 1. 2008. p. 100-106 doi: 10.5220/0001509001000106

Author

Bowes, D. ; Adams, R. ; Cañamero, L. et al. / Receptor response and soma leakiness in a simulated spiking neural controller for a robot. Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing. Vol. 1 2008. pp. 100-106

Bibtex

@inproceedings{4530e305ea574652b7c859aaa243778a,
title = "Receptor response and soma leakiness in a simulated spiking neural controller for a robot",
abstract = "This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus levels. The results show that exponential decay of ions across the soma and of a receptor response function where intensity is proportional to intensity is the best combination for dark seeking behavior.",
author = "D. Bowes and R. Adams and L. Ca{\~n}amero and V. Steuber and N. Davey",
year = "2008",
doi = "10.5220/0001509001000106",
language = "English",
isbn = "9789898111333",
volume = "1",
pages = "100--106",
booktitle = "Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing",

}

RIS

TY - GEN

T1 - Receptor response and soma leakiness in a simulated spiking neural controller for a robot

AU - Bowes, D.

AU - Adams, R.

AU - Cañamero, L.

AU - Steuber, V.

AU - Davey, N.

PY - 2008

Y1 - 2008

N2 - This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus levels. The results show that exponential decay of ions across the soma and of a receptor response function where intensity is proportional to intensity is the best combination for dark seeking behavior.

AB - This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus levels. The results show that exponential decay of ions across the soma and of a receptor response function where intensity is proportional to intensity is the best combination for dark seeking behavior.

U2 - 10.5220/0001509001000106

DO - 10.5220/0001509001000106

M3 - Conference contribution/Paper

SN - 9789898111333

VL - 1

SP - 100

EP - 106

BT - Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing

ER -