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Neurophysiology of insects using microelectrode arrays: Current trends and future prospects

Gaburro,J, Duchemin,J-B, Bhatti,A, Walker,P and Nahavandi,S 2014, Neurophysiology of insects using microelectrode arrays: Current trends and future prospects. In Loo,CK, Yap,KS, Teoh,A and Huang,K (ed), Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III, Springer Verlag, Berlin, Germany, pp.493-500, doi: 10.1007/978-3-319-12643-2_60.

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Title Neurophysiology of insects using microelectrode arrays: Current trends and future prospects
Author(s) Gaburro,J
Duchemin,J-B
Bhatti,AORCID iD for Bhatti,A orcid.org/0000-0001-6876-1437
Walker,P
Nahavandi,S
Title of book Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III
Editor(s) Loo,CK
Yap,KS
Teoh,A
Huang,K
Publication date 2014
Series Lecture notes in computer science ; v.8836
Chapter number 60
Total chapters 83
Start page 493
End page 500
Total pages 7
Publisher Springer Verlag
Place of Publication Berlin, Germany
Keyword(s) Complex behavior
Insect model
MEAs
Neuron networks
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
BEHAVIOR
BRAIN
MOSQUITO
BIOLOGY
BURST
Summary Simple to complex behaviors are directed by the brain, which possess nervous cells, called neurons. Mammals have billions of neurons, organized in networks, making their study difficult. Although methods have well evolved since the last century, studying a simpler model is the key to resolving neuronal communication. In this review, we demonstrate that insects are an excellent model and tool to understand neural mechanisms. Moreover, new technology, such as Microelectrodes Arrays (MEAs), is an innovative method which opens the possibility to study neuron clusters, rather than individual cells. A combined method of an insect model and MEAs technology may lead to great discoveries in neurophysiology, advancing progress in pharmacology, infectious and neurodegenerative diseases, agriculture maintenance and robotics.
ISBN 9783319126425
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-12643-2_60
Field of Research 110903 Central Nervous System
110999 Neurosciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071098

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