Neuroinformatics is a research field concerned with the processing and organization of neuroscience data by the application of principles of computer science and state of the art software design methodologies.
Neuroinformatics provides generic and interoperable computational tools, mathematical models, and databases for Neurosciences.
With the diversity of the data generated in neuroscience, going from the genetic and molecular level to cognitive functions and the diversity of acquisition systems, the necessity of developing software tools, standards to describe the data and proper models appears crucial for a better integration of these heterogeneous data for further understanding the brain.
What is INCF?
INCF is an international network of national nodes with neuroinformatics expertise and infrastructure to support collaboration throughout the global brain research community. The mission of INCF is to accelerate advances in understanding and treating the brain through the development of neuroinformatics – applying the best practices of data science to challenges in basic and clinical brain research. The INCF network consists of
Governing Nodes: Australia, Japan, Malaysia, Norway, Sweden
Associated Nodes: Belgium, Czech Republic, Finland, France, Germany, India, Italy, Republic of Korea, Netherlands, Poland, United Kingdom, USA
June 28, 2017
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FENS Jobs Market
- Ph.D. Student in Ferrara/Italy
- Post-doctoral position in San Antonio/USA
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- Neuroinformatics 2017 paper series on F1000
- Registration for Neuroinformatics 2017 is now open!
- Abstract submission for Neuroinformatics 2017 is open!
- Videos from Stockholm Brainhack Global 2017
- Canada joins INCF
Recent Neuroinformatics papers
- Automated 3-D Detection of Dendritic Spines from In Vivo Two-Photon Image Stacks
- Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images
- Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification
- Generating Neuron Geometries for Detailed Three-Dimensional Simulations Using AnaMorph
- The GridCAT: A Toolbox for Automated Analysis of Human Grid Cell Codes in fMRI
- Software for Brain Network Simulations: A Comparative Study
- Automated Functional Analysis of Astrocytes from Chronic Time-Lapse Calcium Imaging Data
- Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent