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perceived-speech

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sposso / Spatial-and-Temporal-Analysis-of-the-fNIRS-based-Decoding-Models-for-Speech-Perception

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Post-hoc analysis of relevant spatiotemporal features for speech decoding using a linear support vector classifier and LDA. The post-hoc analysis is made by using the SHAP technique

linear-models fnirs interpretable-machine-learning shap shapley-value relevant-feature-analysis neural-decoding shapley-additive-explanations speech-decoding perceived-speech
  • Updated Jun 10, 2025
  • Python

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