PredANN
importedsoftware/predann
Code for the paper "Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings".
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- CC-BY-NC-SA-4.0(cc)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/JURIUENO11/PredANN
- Documentation
- unknown
- Tags
- brain-computer-interface · deep-learning · eeg · music-identification · neural-decoding
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- AutoSortbrain-computer-interface · neural-decoding
Stable and aligned spike sorting and decoding over long-term recordings in BCI
- MiSTRbrain-computer-interface · neural-decoding
[INTERSPEECH 2025]Official code for "MiSTR: Multi-Modal iEEG-to-Speech Synthesis with Transformer-Based Prosody Prediction and Neural Phase Reconstruction"
- mTRF-Toolboxbrain-computer-interface · neural-decoding
A MATLAB package for modelling multivariate stimulus-response data
- LISAneural-decoding
Compact and interpretable MEG-to-audio retrieval with explicit spatial and temporal filters.
- Bio-Silicon-Synergetic-Intelligence-Systemneural-decoding
Bio-Silicon Synergetic Intelligence System
- aawedhabrain-computer-interface · eeg
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
- api.github.com/repos/JURIUENO11/PredANNretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-03-26, 3 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-NC-SA-4.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/13.json→ .entries["predann"]
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