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Morphological modeling of neurons
| dc.creator | Mulchandani, Kishore | |
| dc.date.accessioned | 2012-06-07T22:41:55Z | |
| dc.date.available | 2012-06-07T22:41:55Z | |
| dc.date.created | 1995 | |
| dc.date.issued | 1995 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-M85 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references. | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | A formal representation of neuron morphology, adequate for the geometric modeling of manually-traced neurons, is presented. The concept of a stochastic L-system is then introduced and the critical distribution functions governing the stochastic generation of dendritic and axonal trees are defined. Experiments with various stochastic L-system models for pyramidal, motoneuron, and Purkinje cells are reported which generate synthetic neurons with promising proximity to neurons in the neurobiology literature. A neuron morphology modeler is designed and implemented which provides a methodology for iterative refinement of the stochastic L-system model. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | computer science. | en |
| dc.subject | Major computer science. | en |
| dc.title | Morphological modeling of neurons | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | computer science | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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