Cargando…
Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
The ability to create accurate geometric models of neuronal morphology is important for understanding the role of shape in information processing. Despite a significant amount of research on automating neuron reconstructions from image stacks obtained via microscopy, in practice most data are still...
Autores principales: | Myatt, Darren R., Hadlington, Tye, Ascoli, Giorgio A., Nasuto, Slawomir J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305991/ https://www.ncbi.nlm.nih.gov/pubmed/22438842 http://dx.doi.org/10.3389/fninf.2012.00004 |
Ejemplares similares
-
Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents
por: Schadt, Fabian, et al.
Publicado: (2021) -
A Mutual Information Approach to Automate Identification of Neuronal Clusters in Drosophila Brain Images
por: Masse, Nicolas Y., et al.
Publicado: (2012) -
Recognition of Electroencephalography-Related Features of Neuronal Network Organization in Patients With Schizophrenia Using the Generalized Choquet Integrals
por: Plechawska-Wójcik, Małgorzata, et al.
Publicado: (2021) -
Neuromante /
por: Gibson, William, 1948-
Publicado: (2008) -
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data
por: Ellis, Charles A., et al.
Publicado: (2022)