Abstract
This paper describes Neurone Editor as an editing tool that allows different types of neuronal cells to be modelled by using Java and Java3D. It provides a means of generating realistic neuronal geometries and their expected growth patterns. Each neurone type, as described by the parameters and the variance attributed to each parameter, allows the generation of multiple instances of similar neurons. In this way, we can generate large neurone networks in a biological pattern with the aim of generating computational structures of that type and also as an aid to visualize these structures. With these aims in view, detailed and anatomically correct renditions are not provided but the aim is to replicate natural growth patterns and the resulting interconnections on the assumption that shape defines function.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chad, J.: Duke / Southampton Archive of Neuronal Morphology, Available: http://www.cns.soton.ac.uk/~jchad/cellArchive/cellArchive.html
Ascoli, G., Krichmar, J.L.: L-neuron: A modeling Tool for the Efficient Generation and Parsimonious Description of Dendritic Morphology. Neurocomputing 32-33, 1003–1011 (2000)
Ascoli, G.A.: Neuroanatomical algorithms for dendritic modelling. Network: Computation in Neural Systems 13, 13 (2002)
Hines, M.L., Carnevale, N.T.: The NEURON simulation environment. Neural Computation 9, 1179–1209 (1997)
Heibert, D.: Java 3D Modelling of Neurons. In: ECSE, p. 70. Monash, Melbourne (2001)
Zakis, J.D., Zubovic, A., Lithgow, B.J.: Modelling of the Inferior Colliculus using Java 3D. Presented at IEEE Engineering in Medicine and Biology Society Conference - Biomedicial Research, Monash University, Clayton Campus, Victoria, Australia (2001)
Iskandar, J., Zakis, J.: Neurone Network Modelling of the Inferior Colliculus using Java3D. Presented at The 2nd International Conference on Artificial Intelligence in Science and Technology, Hobart, Tasmania (2004)
Nolte, J.: The Human Brain: An Introduction to Its Functional Anatomy, 5th edn. St. Louis, Mo., London (2002)
Rhoades, R., Pflanzer, R.: Human Physiology, 3rd edn. Saunders College Publising, Orlando (1996)
Gray, H., Williams, P.L., Bannister, L.H.: Gray’s anatomy, 38th edn. Churchill Livingstone, New York (1995)
Hillman, D.E.: Neuronal Shape Parameters and Substructures as a Basis of Neuronal Form. In: Schmitt, F.O., Worden, F.G. (eds.) The Neurosciences: Fourth Study Program, p. 1185. The Mit Press, Cambridge (1979)
Burke, R., Marks, W., Ulfhake, B.: A parsimonious description of motoneuron dendritic morphology using computer simulation. J. Neuroscience 12, 2403–2416 (1992)
Tamori, Y.: Theory of dendritic morphology. Physical Review E 48, 3124–3129 (1993)
Prusinkiewicz, P., Lindenmayer, A.: The algorithmic beauty of plants. Springer, New York (1990)
Selman, D.: Java 3D Programming. Manning, Greenwich (2002)
Iskandar, J.: Modelling of Neurone Networks in Java and VHDL. Presented at Cybernetics and Intelligent Systems, Singapore (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Iskandar, J., Zakis, J. (2005). Neurone Editor: Modelling of Neuronal Growth with Synapse Formation for Use in 3D Neurone Networks. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_15
Download citation
DOI: https://doi.org/10.1007/11552451_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
eBook Packages: Computer ScienceComputer Science (R0)