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dyconnmap

imported

software/dyconnmap

A dynamic connectome mapping module in python.

Machine-generated from the listed sources and not yet reviewed by a human.

dyconnmap project image
GitHub preview card for makism/dyconnmap. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/makism/dyconnmap
Documentation
unknown
Tags
clustering · connectivity · connectome · dynamic · eeg · fc-states · fmri · functional-connectivity
Regulatory
unknown
built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • FCEstconnectome · fmri · functional-connectivity

    Methods for estimating time-varying functional connectivity (TVFC)

  • joineRMLdynamic

    R package for fitting joint models to time-to-event data and multivariate longitudinal data

  • conanconnectome · fmri

    CONnectivity ANalysis tools in Matlab

  • staginconnectome · fmri

    STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

  • biomed-researchfmri · functional-connectivity

    Modular, YAML-configured Python pipeline for multi-scale fMRI functional brain network analysis. Validated on OpenNeuro ds007318 with Schaefer-200 parcellation.

  • controlCartographyfmri · functional-connectivity

    Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.

sources
  1. api.github.com/repos/makism/dyconnmap
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-07-24, 112 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/42.json→ .entries["dyconnmap"]

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