Naoki Matsuda

Development of a novel microphysiological system for neurotoxicity prediction using human iPSC-derived neurons with morphological deep learning

The paper develops a microphysiological system using human iPSC-derived neurons and morphological deep learning to predict neurotoxicity from drugs, showing effectiveness in detecting synaptic degeneration and chemotherapy-induced neuropathy.

Large-area electrical imaging having single neuron resolution using 236,880 electrodes CMOS-MEA technology

The paper introduces a high-resolution CMOS-MEA technology for single-cell neural activity analysis and demonstrates its application in studying brain circuits and drug responses.

System Identification Using Compressed Sensing Reveals Signaling-Decoding System By Gene Expression

The paper develops a system identification method using compressed sensing to analyze signaling-decoding systems with different time scales, revealing gene expression responses to signaling activation.