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NDDM

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software/nddm

Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance (response time and accuracy) to understand cognition.

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

NDDM project image
GitHub preview card for AGhaderi/NDDM. 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
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cognitive-neuroscience · ddm · deep-learning · eeg · joint-modeling · model-based-cognitive-neuroscience · neurocognitive-model · parameter-recovery · single-trial-analysis
Regulatory
unknown
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Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    A complete Python framework to perform real-time fMRI decoded neurofeedback experiments

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

    Machine-imported from GitHub search. Last push 2024-07-04, 19 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/20.json→ .entries["nddm"]

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