This course is part of the second session of talks from INCF’s Neuroinformatics Assembly 2024. The session includes several lectures, with a focus on standardization and sharing of neurophysiology data.
Session 2: Facilitating standardization and sharing of neurophysiology data
Course Features
Lectures
Videos
Lessons of this Course
1
1
Duration:
11:16
Speaker:
Bridging the gap between neuroimaging and the broader data science ecosystem presented by Gregory Kiar, Child Mind Institutel at the INCF Neuroinformatics Assembly 2024
2
2
Duration:
10:32
Speaker:
GPU-accelerated connectome discovery at scale presented by Devarajan Sridharan, Indian Institute of Science, Bangalore at the INCF Neuroinformatics Assembly 2024
3
3
Duration:
08:44
Speaker:
Neurodesk: Enabling Reproducible and Collaborative Neuroscience through Software Containers presented by Thuy Dao, The University of Queensland at the INCF Neuroinformatics Assembly 2024
4
4
Duration:
10:22
Speaker:
Community-engaged benchmarking of diffusion MRI processing workflows using a concordance analysis presented by Jelle Veraart, NYU Grossman School of Medicine at the INCF Neuroinformatics Assembly 2024
5
5
Duration:
11:15
Speaker:
Connectomics for translational neuroscience presented by Sarah Rachel Heilbronner, Baylor College of Medicine at the INCF Neuroinformatics Assembly 2024
6
6
Duration:
11:04
Speaker:
We're going to need a bigger boat: Scaling the human connectome towards whole-brain microscale data presented by Anastasia Yendiki, Harvard Medical School at the INCF Neuroinformatics Assembly 2024
7
8
Duration:
11:36
Speaker:
Advancing and sharing the mapping of cell types through the lens of large scale electron microscopy presented by Nuno da Costa, Allan Institute for Brain Science at the INCF Neuroinformatics Assembly 2024
