Neuro-Signals - Invertebrate Neural Networks - Y. Wong, J. Wong (Karger, 2004) WW.pdf

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Invertebrate Neural Networks
Yung Hou Wong, Hong Kong
Joseph T.Y. Wong, Hong Kong
26 fi gures, 2 in color, 2004
Basel Freiburg Paris London New York
Bangalore Bangkok Singapore Tokyo Sydney
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S. Karger
Medical and Scientifi c Publishers
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© Copyright 2004 by S. Karger AG,
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Fax +41 61 306 12 34
Vol. 13, No. 1–2, 2004
4 Editorial
Wong Y.H.; Wong, J.T.Y. (Hong Kong)
5 Central Neural Circuitry in the Jellyfi sh Aglantha . A Model ‘Simple
Nervous System‘
Mackie, G.O. (Victoria)
20 The Insect Frontal Ganglion and Stomatogastric Pattern Generator
Ayali, A. (Tel Aviv)
37 Molecular Mechanisms for Drosophila Neuronetwork Formation
Furrer, M.-P.; Chiba, A. (Urbana, Ill.)
50 Crustacean Motor Pattern Generator Networks
Hooper, S.L.; DiCaprio, R.A. (Athens, Ohio)
70 Feeding Neural Networks in the Mollusc Aplysia
Cropper, E.C.; Evans, C.G.; Hurwitz, I.; Jing, J.; Proekt, A.; Romero, A.; Rosen, S.C.
(New York, N.Y.)
87 Cephalopod Neural Networks
Williamson, R.; Chrachri, A. (Plymouth)
© 2004 S. Karger AG, Basel
Fax +41 61 306 12 34
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Neurosignals 2004;13:4
DOI: 10.1159/000076154
Neural networking forms the basis of learning and memory, which in turn
are the foundation of intelligence. As early as the 1970s, studies in invertebrate
systems revealed that structural changes at synapses are related to learning and
memory storage. Invertebrate models not only provide simple systems for the
studies of complex behavior, many systems are also amenable for genetic stud-
ies. While neural networking is now synonymous with computational ap-
proaches, we have yet to explore the full potential of what invertebrate neuro-
nal systems can provide. With the advent of genomics and proteomics, it is
now pertinent to have a fresh look at some of the invertebrate systems. We
have gathered reviews across a wide spectrum of invertebrate systems. The
cnidarians consist of organisms capable of behavior generated from simple
neural net, or from centralized system, as in the case of the jellyfish. Crusta-
ceans and insects have been useful models of understanding rhythmic behav-
ior. Synaptic plasticity, in relation to memory, was first discovered in Alphy-
sia. Cephalopods are well known for their capacity of intelligence behavior.
Drosophila , with the advantage of genetics, is useful for the molecular study of
network guidance and formation.
Yung Hou Wong, Hong Kong
Joseph T.Y. Wong, Hong Kong
Fax +41 61 306 12 34
© 2004 S. Karger AG, Basel
Accessible online at:
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