The Belgian Neuroinformatics Node is network of research labs and individual fellows who foster understanding of Neuroscience through formal methods and automation of data analysis. Our goal is to understand how different types of brains work. The network is associated to the International Neuroinformatics Coordination Facility (INCF), where Belgium was a former member country. 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. The 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 fostering neuroinformatics expertise 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
September 16, 2021
May 29, 2021
March 23, 2021
FENS Jobs Market
- Future Directions in Neuroscience Research
- Winners of the Boehringer Ingelheim FENS Research Award 2022 announced
- Become a #FENS2022 Social Media ambassador!
- Visit our virtual booth at ECNP 2021
- FENS statement on Elaine Snell’s passing
- Flatiron Research Fellow, Center for Computational Neuroscience
- An ultra detailed map of the motor cortex, from mice to monkeys to humans
- New Job Posting: Scientific Software Engineer
- INCF re-endorses NeuroML, BIDS and PyNN
- New Working Group: INCF WG on ARTEM-IS
Recent Neuroinformatics papers
- Convolutional Neural Network Based Frameworks for Fast Automatic Segmentation of Thalamic Nuclei from Native and Synthesized Contrast Structural MRI
- A Comprehensive, FAIR File Format for Neuroanatomical Structure Modeling
- Extreme Learning Machine Design for Dealing with Unrepresentative Features
- Cross-validated Adaboost Classification of Emotion Regulation Strategies Identified by Spectral Coherence in Resting-State
- Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces
- A Validation of Supervised Deep Learning for Gait Analysis in the Cat
- A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines
- Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas