SHINE: Sequential Hierarchical Integration Network for EEG and MEG | ScienceToStartup | ScienceToStartup

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References (26)

[1]

Contrastive representation learning with transformers for robust auditory EEG decoding

2025Lies Bollens, Bernd Accou et al.

[2]

DMF2Mel: A Dynamic Multiscale Fusion Network for EEG-Driven Mel Spectrogram Reconstruction

2025Cunhang Fan, Sheng Zhang et al.

[3]

The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset

Founder's Pitch

"Develop a neural network model, SHINE, for reconstructing speech-sequence data from MEG signals."

Brain-Computer Interfaces•Score: 5•View PDF ↗

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2.5

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SHINE: Sequential Hierarchical Integration Network for EEG and MEG

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References (26)

Founder's Pitch

"Develop a neural network model, SHINE, for reconstructing speech-sequence data from MEG signals."

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SHINE: Sequential Hierarchical Integration Network for EEG and MEG

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References (26)

Founder's Pitch

"Develop a neural network model, SHINE, for reconstructing speech-sequence data from MEG signals."

Commercial Viability Breakdown

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