A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models | ScienceToStartup | ScienceToStartup

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References (57)

[1]

Foundation models for EEG decoding: current progress and prospective research

2025Yuxuan Yao, Hongbo Wang et al.

[2]

REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

2025Yassine El Ouahidi, Jonathan Lys et al.

[3]

MEG-GPT: A transformer-based foundation model for magnetoencephalography data

Founder's Pitch

"Develop efficient tokenization strategies for MEG foundation models with publicly available code."

Medical AI•Score: 4•View PDF ↗

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A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models

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References (57)

Founder's Pitch

"Develop efficient tokenization strategies for MEG foundation models with publicly available code."

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A Systematic Evaluation of Sample-Level Tokenization Strategies for MEG Foundation Models

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References (57)

Founder's Pitch

"Develop efficient tokenization strategies for MEG foundation models with publicly available code."

Commercial Viability Breakdown

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