repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 25d ago
eegdash/EEGDash
EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection →
- PossiblePossibly related (embedding) · 48%CoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG Decoding →
- PossiblePossibly related (embedding) · 55%Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds - MarkTechPost →
- PossiblePossibly related (embedding) · 47%DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations →
Implements (incoming)
paperEEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike DetectionpaperCoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG DecodingpaperPHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal SynthesispaperDiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations
Covers (incoming)
Related across the graph
paperCoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG DecodingnewsZyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds - MarkTechPostpaperPHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal SynthesispaperEEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike DetectionpaperDiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations
