Analyzing_Neural_Time_Series
importedsoftware/analyzing-neural-time-series
python implementations of Analyzing Neural Time Series Textbook
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- analysis · eeg · jupyter · neural-data-analysis · neuroscience · python · signal-processing · time-series
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- EEG_real_time_seizure_detectioneeg · signal-processing · time-series
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
- hmpeeg · neuroscience · signal-processing
Repository for the hmp python package
- mne-rteeg · neuroscience · signal-processing
Real-time M/EEG signal processing
- FingerFlexneuroscience · time-series
FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
- NeuroXAIeeg · time-series
[ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application
- PACmegeeg · time-series
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
- api.github.com/repos/lyndond/Analyzing_Neural_Time_Seriesretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-11-01, 190 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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