Working Group outcomes
INCF Working Groups are composed of members working on short-term funded projects that aim to achieve a concrete deliverable. See below the outcomes of the working groups over the years.
Year | Outcomes | Working group |
---|---|---|
2023 |
|
D-GNNs: developing DevoGraph for computational developmental biology (OpenWorm Foundation) |
2023 |
|
Virtual reality for distributed research |
2023 | INCF Working Group on Standardized Representations of Network Structures | |
2023 |
|
INCF Working Group on Cellular Neuroscience with MATLAB |
2023 |
|
Image feature and classification database |
2023 |
|
Integrate Zenodo API with The Virtual Brain |
2023 |
|
Code editor support for Brian model equations |
2023 |
|
Adding new workers and resource management to new dataflow engine written in Python: Pydra |
2023 |
|
Technical Improvements to enhance the usability of The Turing Way chapters by different user groups |
2023 | Comprehensive dashboard to measure and display INCF impact on global neuroscience and informatics community |
Impact visualization portal for global neuroinformatics community |
2023 |
|
Generalize parameter optimization routines for the Human NeoCortical Neurosolver |
2023 |
|
Conversion of public neurophysiology datasets to Neurodata Without Borders (NWB) format |
2023 | Development and build of Sci-commons, a portal for users to anonymously review, comment on, and rate submitted article |
A social web tool to facilitate rating and commenting on research reports |
2023 |
|
Implementing CSV data browser and querying component |
2023 |
|
Improving graphical interface and user experience on AnalySim |
2023 |
|
Exploring open-source sustainability via agent-based modelling |
2023 |
|
Develop IO routines for HNN-core outputs |
2023 |
|
Improving LORIS data platform |
2023 |
|
Efficient app-based measurement of visual functions in infants and young children |
2023 |
|
Improving automatic reviewer assignment using large language models for NBDT journal |
2023 |
|
Optimization of the computations of HOIs and integration in the Frites Python package |
2023 |
|
Integration of automated model testing and parameter fitting tools for neuroscience applications |
2023 |
|
D-GNNs: developing DevoGraph for computational developmental biology |
2023 |
|
Replicating Auditory Steady-State Response (ASSR) in an auditory cortex model |
2023 |
|
A structural connectivity widget for The Virtual Brain |
2022 | An app facilitating completion of the template using an onscreen interface |
INCF Working Group on ARTEM-IS |
2022 | INCF Working Group on NIDM (NeuroImaging Data Model) | |
2022 | INCF Working Group on Neuroimaging Quality Control | |
2022 | INCF Working Group on Reproducibility and Best Practices in Human Brain Imaging | |
2021 |
|
INCF Working Group on Electrophysiology Stimulation Ontology |
2021 | INCF Working Group on Neuroinformatics for Aging | |
2021 | INCF Working Group on Reproducibility and Best Practices in Human Brain Imaging | |
2020 | INCF Working Group on Neuroinformatics for cell types | |
2020 | “Neuroimaging and Informatics for Successful Aging” Research Topic in Frontiers |
INCF Working Group on Neuroinformatics for Aging |
2020 | INCF Working Group on Standardized Representations of Network Structures | |
2019 | INCF Working Group on NIDM (NeuroImaging Data Model) | |
2019 | INCF Working Group on Neuroimaging Quality Control | |
2019 | INCF Working Group on Neuroinformatics for Aging | |
2018 | INCF Working Group on NIDM (NeuroImaging Data Model) | |
2016 | INCF Working Group on NIDM (NeuroImaging Data Model) | |
2015 | INCF Working Group on NIDM (NeuroImaging Data Model) |