Evolving neural networks for orientation behavior of sand scorpions towards prey

Hyungu Yim; Daeeun Kim

doi:10.1007/978-3-642-33269-2_44

Evolving neural networks for orientation behavior of sand scorpions towards prey

Hyungu Yim, Daeeun Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Sand scorpions have a good capability of detecting vibration caused by their prey. They have tactile sense organs in their legs, and they are sensitive to the vibration of surface wave. It is known that the receptor neurons (command neurons) from each leg have inhibitory connections to pinpoint the direction of vibration source, and triad inhibitory connections among receptor neurons have been suggested to explain their orientation behavior. In this paper, we explore the neural network mechanism for the orientation behavior of sand scorpions towards their prey, and by evolving neural networks, we found inhibitory connections among receptor neurons play a significant role for the behavior.

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings
Pages	347-354
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-33269-2_44
Publication status	Published - 2012
Event	22nd International Conference on Artificial Neural Networks, ICANN 2012 - Lausanne, Switzerland Duration: 2012 Sept 11 → 2012 Sept 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7552 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	22nd International Conference on Artificial Neural Networks, ICANN 2012
Country/Territory	Switzerland
City	Lausanne
Period	12/9/11 → 12/9/14

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-33269-2_44

Cite this

Yim, H., & Kim, D. (2012). Evolving neural networks for orientation behavior of sand scorpions towards prey. In Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings (PART 1 ed., pp. 347-354). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7552 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-33269-2_44

Yim, Hyungu ; Kim, Daeeun. / Evolving neural networks for orientation behavior of sand scorpions towards prey. Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1. ed. 2012. pp. 347-354 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "Sand scorpions have a good capability of detecting vibration caused by their prey. They have tactile sense organs in their legs, and they are sensitive to the vibration of surface wave. It is known that the receptor neurons (command neurons) from each leg have inhibitory connections to pinpoint the direction of vibration source, and triad inhibitory connections among receptor neurons have been suggested to explain their orientation behavior. In this paper, we explore the neural network mechanism for the orientation behavior of sand scorpions towards their prey, and by evolving neural networks, we found inhibitory connections among receptor neurons play a significant role for the behavior.",

author = "Hyungu Yim and Daeeun Kim",

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Yim, H & Kim, D 2012, Evolving neural networks for orientation behavior of sand scorpions towards prey. in Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7552 LNCS, pp. 347-354, 22nd International Conference on Artificial Neural Networks, ICANN 2012, Lausanne, Switzerland, 12/9/11. https://doi.org/10.1007/978-3-642-33269-2_44

Evolving neural networks for orientation behavior of sand scorpions towards prey. / Yim, Hyungu; Kim, Daeeun.
Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1. ed. 2012. p. 347-354 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7552 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Yim H, Kim D. Evolving neural networks for orientation behavior of sand scorpions towards prey. In Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 1 ed. 2012. p. 347-354. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-33269-2_44

Evolving neural networks for orientation behavior of sand scorpions towards prey

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