Explore
Quantitative analysis of neuroanatomy
0 Ungluers have
Faved this Work
Login to Fave
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. Large-scale projects were recently launched with the aim of providing infrastructure for brain simulations. These projects will increase the need for a precise understanding of brain structure, e.g., through statistical analysis and models. From articles in this Research Topic, we identify three main themes that clearly illustrate how new quantitative approaches are helping advance our understanding of neural structure and function. First, new approaches to reconstruct neurons and circuits from empirical data are aiding neuroanatomical mapping. Second, methods are introduced to improve understanding of the underlying principles of organization. Third, by combining existing knowledge from lower levels of organization, models can be used to make testable predictions about a higher-level organization where knowledge is absent or poor. This latter approach is useful for examining statistical properties of specific network connectivity when current experimental methods have not yet been able to fully reconstruct whole circuits of more than a few hundred neurons.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 102 times via unglue.it ebook links.
- 6 - epub (CC BY) at Unglue.it.
- 39 - mobi (CC BY) at Unglue.it.
- 27 - epub (CC BY) at Unglue.it.
- 29 - pdf (CC BY) at Unglue.it.
Keywords
- connectomics
- Dendrites
- neuronal modelling
- Quantitative morphology
- spatial statistics
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Links
DOI: 10.3389/978-2-88919-796-5Editions