Main Menu (Mobile)- Block
MENU
- Our Research
-
Support Teams
- Overview
- Anatomy and Histology
- Cell and Tissue Culture
- Connectome Annotation
- Cryo-Electron Microscopy
- Drosophila Resources
- Electron Microscopy
- Gene Targeting and Transgenics
- Janelia Experimental Technology
- Light Microscopy
- Media Prep
- Molecular Biology
- Project Technical Resources
- Quantitative Genomics
- Scientific Computing Software
- Scientific Computing Systems
- Viral Tools
- Vivarium
- Open Science
- You + Janelia
- About Us
Labs:
Project Teams:
Main Menu - Block
Labs:
Project Teams:
- Overview
- Anatomy and Histology
- Cell and Tissue Culture
- Connectome Annotation
- Cryo-Electron Microscopy
- Drosophila Resources
- Electron Microscopy
- Gene Targeting and Transgenics
- Janelia Experimental Technology
- Light Microscopy
- Media Prep
- Molecular Biology
- Project Technical Resources
- Quantitative Genomics
- Scientific Computing Software
- Scientific Computing Systems
- Viral Tools
- Vivarium
janelia7_blocks-janelia7_biblio_header | block
Current Biology. 2019 Nov 04;29(21):R1138-R1140. doi: 10.1016/j.cub.2019.09.039
Zebrafish neuroscience: Using artificial neural networks to help understand brains. Ahrens Lab
Ahrens MB
janelia7_blocks-janelia7_biblio_abstract | block
Abstract
Brains are notoriously hard to understand, and neuroscientists need all the tools they can get their hands on to have a realistic shot at it. Advances in machine learning are proving instrumental, illustrated by their recent use to shed light on navigational strategies implemented by zebrafish brains.
PMID: 31689401 [PubMed - indexed for MEDLINE]
node:body | entity_field
janelia7_blocks-janelia7_biblio_authors | block
Janelia Authors
janelia7_blocks-janelia7_biblio_tools | block