Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Von Frisch, K.: The dance language and orientation of bees (1967)
Wilson, E.O.: The insect societies. The insect societies (1971)
Howse, P.: Brain structure and behavior in insects. Annual Review of Entomology 20(1), 359–379 (1975)
Dyer, F.C.: The biology of the dance language. Annual review of Entomology 47(1), 917–949 (2002)
Cocroft, R.B., RodrÃguez, R.L.: The behavioral ecology of insect vibrational communication. Bioscience 55(4), 323–334 (2005)
Cator, L.J., et al.: Harmonic convergence in the love songs of the dengue vector mosquito. Science 323(5917), 1077–1079 (2009)
Dorigo, M., Birattari, M., Stutzle, T.: Ant colony optimization. IEEE Computational Intelligence Magazine 1(4), 28–39 (2006)
Dukas, R.: Evolutionary biology of insect learning (2007)
Giurfa, M.: Cognitive neuroethology: dissecting non-elemental learning in a honeybee brain. Current Opinion in Neurobiology 13(6), 726–735 (2003)
Brand, A.H., Livesey, F.J.: Neural stem cell biology in vertebrates and invertebrates: more alike than different? Neuron 70(4), 719–729 (2011)
Strausfeld, N.J., Hirth, F.: Deep homology of arthropod central complex and vertebrate basal ganglia. Science 340(6129), 157–161 (2013)
Kohler, R.E.: Lords of the fly: Drosophila genetics and the experimental life. University of Chicago Press (1994)
Chong, S.-A., et al.: Synaptic dysfunction in hippocampus of transgenic mouse models of Alzheimer’s disease: A multi-electrode array study. Neurobiology of Disease 44(3), 284–291 (2011)
Chu, J.-U., et al.: Spontaneous synchronized burst firing of subthalamic nucleus neurons in rat brain slices measured on multi-electrode arrays. Neuroscience Research 72(4), 324–340 (2012)
Grimstad, P.R., Ross, Q.E., Craig, G.B.: Aedes triseriatus (Diptera: Culicidae) and La Crosse virus II. Modification of mosquito feeding behavior by virus infection. Journal of Medical Entomology 17(1), 1–7 (1980)
Libersat, F., Delago, A., Gal, R.: Manipulation of host behavior by parasitic insects and insect parasites. Annu Rev. Entomol. 54, 189–207 (2009)
Johnstone, A.F., et al.: Microelectrode arrays: a physiologically based neurotoxicity testing platform for the 21st century. Neurotoxicology 31(4), 331–350 (2010)
Natarajan, A., et al.: Microelectrode array recordings of cardiac action potentials as a high throughput method to evaluate pesticide toxicity. Toxicology in Vitro 20(3), 375–381 (2006)
McConnell, E.R., et al.: Evaluation of multi-well microelectrode arrays for neurotoxicity screening using a chemical training set. Neurotoxicology 33(5), 1048–1057 (2012)
Mack, C.M., et al.: Burst and principal components analyses of MEA data for 16 chemicals describe at least three effects classes. Neurotoxicology 40, 75–85 (2014)
Franceschini, N., et al.: From insect vision to robot vision [and discussion]. Philosophical Transactions of The Royal Society of London. Series B: Biological Sciences 337(1281), 283–294 (1992)
Beer, R.D., et al.: Biologically inspired approaches to robotics: What can we learn from insects? Communications of the ACM 40(3), 30–38 (1997)
Delcomyn, F.: Insect walking and robotics. Annual Reviews in Entomology 49(1), 51–70 (2004)
Bässler, U., Wegner, U.: Motor output of the denervated thoracic ventral nerve cord in the stick insect Carausius morosus. Journal of experimental Biology 105(1), 127–145 (1983)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Gaburro, J., Duchemin, JB., Bhatti, A., Walker, P., Nahavandi, S. (2014). Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects. In: Loo, C.K., Yap, K.S., Wong, K.W., Beng Jin, A.T., Huang, K. (eds) Neural Information Processing. ICONIP 2014. Lecture Notes in Computer Science, vol 8836. Springer, Cham. https://doi.org/10.1007/978-3-319-12643-2_60
Download citation
DOI: https://doi.org/10.1007/978-3-319-12643-2_60
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12642-5
Online ISBN: 978-3-319-12643-2
eBook Packages: Computer ScienceComputer Science (R0)