Master-Thesis
importedsoftware/master-thesis
Assessing consciousness by perturbing a dynamic mean-field whole-brain model fitted to empirical neuroimaging data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- complexity-measure · consciousness · empirical-data-modeling · mean-field · neuroimaging · pci · perturbation · whole-brain
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- NDEYSSconsciousness
Network Designed to Eventually Yield Sentience and Sapience
- scapeperturbation
Single-cell Analysis of Perturbational Effects using Machine Learning
- scPerturbperturbation
scPerturb: A resource and a python/R tool for single-cell perturbation data
- chemCPAperturbation
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- 3d_very_deep_vaeneuroimaging
PyTorch implementations of variational autoencoders for 3D images
- ABC_neuroimagingneuroimaging
A sample neuroimaging pipeline for the fMRI data collected by the Aging Brain Cohort.
- api.github.com/repos/tomasberjagabuisan/Master-Thesisretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2022-07-04, 6 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/18.json→ .entries["master-thesis"]
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