openmedical/registry
← registry

OscillationMethods

imported

software/oscillationmethods

Methodological considerations for analyzing and interpreting neural oscillations.

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

OscillationMethods project image
GitHub preview card for OscillationMethods/OscillationMethods. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
OscillationMethods
Country
unknown
Documentation
unknown
Tags
cycle-by-cycle · digital-signal-processing · ecog · eeg · meg · neural-oscillations · neuroscience · spectral-parameterization
Regulatory
unknown
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.

  • AperiodicMethodsdigital-signal-processing · ecog · eeg · meg · neuroscience · spectral-parameterization

    Evaluating methods for estimating aperiodic activity in electrophysiological data.

  • NeuroAnalyzer.jlecog · eeg · meg · neuroscience

    Julia toolbox for analyzing neurophysiological data

  • bossdevice-api-matlabdigital-signal-processing · eeg · neuroscience

    sync2brain's bossdevice RESEARCH Application Programmable Interface (API) for MATLAB

  • apertureecog · eeg · meg

    Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

  • braindecodeecog · eeg · meg

    Deep learning software to decode EEG, ECG or MEG signals

  • mne-pythonecog · eeg · meg

    MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

sources
  1. api.github.com/repos/OscillationMethods/OscillationMethods
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2023-10-29, 31 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/10.json→ .entries["oscillationmethods"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.