Enabling open and FAIR neuroscience

The International Neuroinformatics Coordinating Facility (INCF; www.incf.org) is an international organization launched in 2005, following a proposal from the Global Science Forum of the OECD. INCF was established to facilitate and promote the sharing of data and computing resources in the international neuroscience community. A larger objective of INCF is to help develop scalable, portable, and extensible applications that can be used by neuroscience laboratories worldwide.

The mission of INCF is to make neuroscience FAIR (Findable, Accessible, Interoperable and Reusable) by sharing and integrating neuroscience data and knowledge worldwide. We foster scientific community collaboration to develop standards for data sharing, analysis modeling and simulation in order to catalyze insights into brain function in health and disease.

INCF activities are open to all who can contribute to neuroinformatics at the international level. We have a global community of neuroscience researchers working on new and improved tools for all of neuroscience – enabling other researchers to make more and faster discoveries, and improving our understanding of the brain.

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  • python
  • c/c++
  • java
  • tensorflow
  • javascript


  • Science and Medicine
  • neuroscience
  • brain modelling
  • neuroimage processing
  • data visualization
  • big data
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INCF 2020 Projects

  • Imran Alam
    A reduced time-series feature library to efficiently characterize neural dynamics
    Feature extraction is the core aspect of pattern recognition. In the specific domain of NeuroImaging, researchers in the past have formulated...
  • Salman Khan
    Automated comparison of scientific methods for time-series analysis
    Time series analysis methods are regularly being developed and we don’t have any resource at present that compares the newly developed method with...
  • ManviAgarwal
    Benchmarking modern SNN training algorithms on GeNN
    In this proposal, I outline how I plan to implement and benchmark five learning rules - reward-modulated STDP, triplet STDP, compeititve STDP,...
  • Raghavendra
    Cell Tracking Using Geometric Features
    The project aims to provide a robust mechanism for cell tracking using 2D raw image object.Through the use of Viterbi Dynamic Programming based...
  • Ronaldo Nunes
    Conversion of large scale cortical models into PyNN/NeuroML
    The project Conversion of large scale cortical models into PyNN/NeuroML involves the conversion of published large scale network models into open,...
  • Joanna Stachera
    Deep learning using geometric features
    ImageJ is an open source Java image processing and analysis library used extensively in biomedical sciences. Active Segmentation is a plugin...
    Brian is a spiking neural networks simulator, which provides desirable syntactic sugar and flexibility to allow a wide variety of models without...
  • Amogh Johri
    Improving personalized models of fMRI recordings including individual region-specific HRF in The Virtual Brain
    The Virtual Brain (TVB) is a neuroinformatics platform for the simulation of the dynamics of large-scale brain networks with biologically realistic...
  • Alexandra Livadas
    LORIS Automated Testing
    This project aims to improve the automated testing of the LORIS codebase. This will be achieved through writing both unit and integration tests, as...
  • Karim Hasbini
    LORIS data visualization proposal
    This proposal outlines the steps and experience needed for a javascript based data visualization tool for LORIS through the React framework. A method...
  • Simon Pelletier
    LORIS: API development and documentation
    LORIS (Longitudinal Online Research and Imaging System) is a web-based data and project management software for neuroimaging research studies. It is...
  • Sarath Chandra
    MRI Registration using Deep Learning and Implementation of Thin-Plate Splines
    Image registration is the process of finding a transformation that aligns one image to another. DIPY currently supports several numerical...
  • Ujjwalll
    OpenWorm: OpenDevoCell Integration
    This project is about integrating the resources available at the OpenWorm and DevoWorm group. This project will focus on improving the data science...
  • Vergil Haynes
    OSB: Conversion of public neurophysiology datasets to NeuroData Without Borders format
    Neuroscience data comes in multiple different data formats and structures. These differences provide a major technical barrier to sharing data...
  • Mayukh Deb
    Pre-trained models for Developmental Neuroscience
    Deep neural networks are not yet being used (at scale) on microscopic images for research. With the right model architecture and training...
  • Ronak Doshi
    Python-based electroencephalography (EEG) and deep learning workflow system
    The Workflow Designer is a prototype web-based application allowing drag-and-drop creating, editing, and running workflows from a predefined library...
  • S. Hussain Ather
    SciUnit Bifurcation analysis
    Extending SciUnit model testing to bifurcation models of spin-glass-like neuron network. I would propose to use model parameter optimization based on...
  • Punit Batra
    TVB: Web GUI for reconstruction pipeline
    The project will focus on constructing a Web GUI for Reconstruction pipeline. The reconstruction pipeline takes RMN images as input and processes...
  • Sorenza Bastiaens
    Unit Tests for Large-Scale Brain Network Dynamics
    The SciUnit framework was developed to help researchers create unit tests for scientific models. Currently, unit tests exist for models of single...
  • Ayan Banerjee7
    Upgrade and Fix tvb-gdist C++ Library
    While running simulation on cortical surfaces we need to calculate geodesic distance as opposed to euclidean distance due to the shape of the...
  • Mohammad Asif Hashmi
    XNAT Dashboards
    This project is about creating a responsive dashboard framework for extensive exploration, monitoring, and reviewing large neurological imaging...