NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies
| Autor: | Frank Postma, Peter van Hees, Randal A. Koene, G.J.A. Ramakers, Arjen van Ooyen, Alexander de Ridder, Jaap van Pelt, Betty M. Tijms |
|---|---|
| Přispěvatelé: | Integrative Neurophysiology, Neuroscience Campus Amsterdam - integrative Analysis & Modeling, Ontwikkelingspsychologie (Psychologie, FMG), Netherlands Institute for Neuroscience (NIN) |
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Neurite
Computer science Nerve net Growth Cones Neural Pathways medicine Computer Simulation Growth cone Mathematical Computing Image Cytometry Neurons Stochastic Processes Artificial neural network Stochastic process General Neuroscience Computational Biology Neuronal morphogenesis Dendrites medicine.anatomical_structure nervous system Neuron Nerve Net Neuroscience Neural development Algorithms Software Information Systems |
| Zdroj: | Neuroinformatics, 7(3), 195-210. Humana Press Koene, R A, Tijms, B, van Hees, P, Postma, F, de Ridder, A, Ramakers, G J, van Pelt, J & van Ooyen, A 2009, ' NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies ', Neuroinformatics, vol. 7, no. 3, pp. 195-210 . https://doi.org/10.1007/s12021-009-9052-3 Neuroinformatics, 7, 195-210. Humana Press |
| ISSN: | 1539-2791 |
| DOI: | 10.1007/s12021-009-9052-3 |
| Popis: | We present a simulation framework, called NETMORPH, for the developmental generation of 3D large-scale neuronal networks with realistic neuron morphologies. In NETMORPH, neuronal morphogenesis is simulated from the perspective of the individual growth cone. For each growth cone in a growing axonal or dendritic tree, its actions of elongation, branching and turning are described in a stochastic, phenomenological manner. In this way, neurons with realistic axonal and dendritic morphologies, including neurite curvature, can be generated. Synapses are formed as neurons grow out and axonal and dendritic branches come in close proximity of each other. NETMORPH is a flexible tool that can be applied to a wide variety of research questions regarding morphology and connectivity. Research applications include studying the complex relationship between neuronal morphology and global patterns of synaptic connectivity. Possible future developments of NETMORPH are discussed. © 2009 Humana Press Inc. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink