Compressed voxelwise encoding models accurately predict BOLD responses.

A. An encoding model predicts the fMRI BOLD responses from the visual stimulus features. The decoding model predicts the optimal stimulus from the BOLD responses. B. The Pearson correlation coefficient between estimated response using the best CNN layer...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Fatemeh Kamali (20752576) (author)
مؤلفون آخرون:	Amir Abolfazl Suratgar (20752579) (author), Mohammadbagher Menhaj (20752582) (author), Reza Abbasi-Asl (5953967) (author)
منشور في:	2025
الموضوعات:	Genetics Biotechnology Evolutionary Biology Ecology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified voxelwise pattern selectivity ventral visual pathway principal component analysis identifying visual stimuli convolutional neural networks brain activity evoked superior predictive performance select receptive fields compressed models reveal compressed models offer based voxelwise models model compression improves predictive models based models uncompressed models receptive field optimal model widely used test set stable interpretation reduce dimensionality optimal center natural movies huge number enabled interpretability centralized along
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Compressed voxelwise encoding models accurately predict BOLD responses.

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