Advancing global collaborative brain research

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 share and integrate 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.

INCF is hosted by Karolinska Institutet and the Royal Institute of Technology, and the Secretariat is located on the Karolinska Institute Campus in Stockholm, Sweden. Decisions regarding INCF strategy and activities are made by the Governing Board, which is composed of representatives from the member countries.The extended INCF community includes scientists, non-profit research organizations, publishers, and related industries in Europe, Asia, Australia, and North and South America.

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Technologies

  • c++
  • python
  • gpu
  • javascript
  • java

Topics

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International Neuroinformatics Coordinating Facility 2016 Projects

  • Rokas
    Building cortical network models in NeuroML2 using procedural and declarative programming approaches
    There is a long history of neuronal simulator-specific modelling in the fields of theoretical neuroscience and neuroinformatics. As a result, most of...
  • Asier Erramuzpe
    Image Search for Brain Maps
    The brain search feature is a useful tool for researchers since it allows them to find studies from other researchers showing similar results....
  • Ipsita
    Implementation of a HDF5 export/import to EEGBase
    The data produced by experiments of Electroencephalography (EEG) and Event­-related potentials (ERP) is stored in web portal of EEGBase, by...
  • dokato
    Importing and exporting simulator-independent model-descriptions with the Brian simulator
    Brian simulator becomes more and more popular in neuroscience community. At the same time Python is now some kind of state-of-the-art in the field,...
  • Abhay Chaturvedi
    Modifying the current neuroshare to hdf5 converter to use the NIX format instead.
    I would be tweaking the current neuroshare converter so that any proprietary file that can be read with neuroshare could be converted to an open...
  • Sumit Vohra
    Modular Machine Learning and Classification Toolbox for ImageJ
    The major goal of our project is come up with new architecture of existing plugin. Our ultimate goal is to reduce the coupling and make it cohesive...
  • Wenyan
    Optimization of neural network simulator via parallelisation
    SDDEKit is an algorithmic library written in c backing the neural network simulator of the Virtual Brain's project supporting the calculation of...
  • bj
    Qt5 in PISAK.org, an open system for alternative communication
    The project is about replacing technology used by the PISAK program to the Qt5 framework, what will improve its overall quality and allow for easier...
  • Shailesh Tripathi
    Shailesh Tripathi- GSoC Project #9.2: Adding OpenCL support to GeNN
    GeNN uses the power of GPU parallelism to accelerate simulations. Currently GeNN only supports CUDA limiting its use to NVIDIA GPUs only. The...
  • Dabyly
    The Virtual Brain Project #2: Improving Parameter Space Exploration Tool
    In the last decade simulation models have become more prevalent in a variety of application areas. Each of these models define a set of input...
  • mcneela
    Towards Support for Reverse Engineering of Neural Circuits and Non-Linear Dimensionality Reduction in Fovea and PyDSTool
    Computational models of neural circuitry are increasingly superseding single neuron models for understanding dynamic processes in the brain....
  • Alex Chrabrow
    ZeroMQ-based distributed messaging system in the OpenBCI brain­-computer interface framework
    OpenBCI (https://github.com/BrainTech/openbci) is GPL-licensed framework for building brain-computer interfaces. It automates common tasks such as:...
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2016