Cargando…
Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data
Reconstructing brain connectivity at sufficient resolution for computational models designed to study the biophysical mechanisms underlying cognitive processes is extremely challenging. For such a purpose, a mesoconnectome that includes laminar and cell-class specificity would be a major step forwar...
Autores principales: | Timonidis, Nestor, Bakker, Rembrandt, Tiesinga, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498447/ https://www.ncbi.nlm.nih.gov/pubmed/32448958 http://dx.doi.org/10.1007/s12021-020-09471-x |
Ejemplares similares
-
Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain
por: Timonidis, Nestor, et al.
Publicado: (2021) -
A Transcriptome Community-and-Module Approach of the Human Mesoconnectome
por: Paredes, Omar, et al.
Publicado: (2021) -
The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content
por: Bakker, Rembrandt, et al.
Publicado: (2015) -
The missing link: Predicting connectomes from noisy and partially observed tract tracing data
por: Hinne, Max, et al.
Publicado: (2017) -
Correction: The missing link: Predicting connectomes from noisy and partially observed tract tracing data
por: Hinne, Max, et al.
Publicado: (2017)