3 papers
q-bio.NC2026
Beyond Prediction Accuracy: Target-Space Recovery Profiles for Evaluating Model-Brain Alignment
Ken Nakamura, Tomoya Nakai, Ryuto Yashiro +2
Artificial vision models are often evaluated against the human visual cortex by measuring how accurately their internal representations predict brain responses. However, prediction…
cs.LG2025
MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback
Mina Kamao, Hayato Ono, Ayumu Yamashita +2
Alignment between human brain networks and artificial models has become an active research area in vision science and machine learning. A widely adopted approach is identifying "me…
q-bio.NC2024
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states
Yuto Nishimura, Masataka Sawayama, Ayumu Yamashita +2
Recently, leveraging big data in deep learning has led to significant performance improvements, as confirmed in applications like mental state decoding using fMRI data. However, fM…