- Add a license. This is necessary to make your code reusable. Apache 2.0 is our default suggestion.
- Add readme file with explanation of the project, code purpose and further readings.
- Add citation Turing book on citations. If there is no published paper - preprint works well.
- Further reads: eScience. Go to resources and training materials.
Digital-C-Fiber
Digital C-fiber is a virtual coding space established by E. Kutafina, J. Tigerholm and B. Namer to develop computational models of human C-fibers.
Pinned Loading
Repositories
Showing 10 of 18 repositories
- multi-task-learning-for-spike-sorting Public Forked from BI-K/multi-task-learning-for-spike-sorting
Multi-task machine learning approach to spike sorting of microneurography dat. The task of sorting remains the same, but the fibers and their spike morphologies are changing by recording. Multi-task learning allow to learn the core task.
Digital-C-Fiber/multi-task-learning-for-spike-sorting’s past year of commit activity - Modelling-of-Memory-in-Unmyelinated-Axons Public
An efficient model to predict conduction velocity changes in unmyelinated axons, based on "memory" where prior activity modulates subsequent action potential speeds. Incorporating linear long-term and non-linear short-term memory components, it predicts propagation speeds using a memory function.
Digital-C-Fiber/Modelling-of-Memory-in-Unmyelinated-Axons’s past year of commit activity - Digital-C-Fiber-webpage Public
Digital-C-Fiber/Digital-C-Fiber-webpage’s past year of commit activity - SpikeSortingPipeline Public
Jupyter notebook to analyze and sort spike based on their morphology recorded via microneurography
Digital-C-Fiber/SpikeSortingPipeline’s past year of commit activity
People
This organization has no public members. You must be a member to see who’s a part of this organization.
Top languages
Loading…
Most used topics
Loading…