Resume
Academic Achievements
- - Paper: Readout Representation: Redefining Neural Codes by Input Recovery (arXiv.org, 2025-10-22)
- - Paper: Critical evaluation of “mental image reconstruction”: Commentary on Koide-Majima, Nishimoto, and Majima (2024) (Japan Society for Neurocircuitry, 2025-09-23)
- - Paper: Overcoming Output Dimension Collapse: How Sparsity Enables Zero-shot Brain-to-Image Reconstruction at Small Data Scales (arXiv.org, 2025-09-23)
- - Paper: Visual Image Reconstruction from Brain Activity via Latent Representation (Annual Reviews, 2025-09-18)
- - Paper: Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation (doi.org, 2025-07-25)
- - Paper: Inter-individual and inter-site neural code conversion without shared stimuli (Nature Computational Science, 2025-07-11)
- - Paper: Advancing neural decoding with deep learning (Nature Computational Science, 2025-07-11)
Research Experience
- - Department of Information Science and Technology, Graduate School of Informatics, Kyoto University
- - Researcher at ATR
Background
- - Research Interests: Brain Cognitive Science, Neuroinformatics
- - Professional Field: Decoding of Brain Activity, Neural Network Representations
Miscellany
- - Involved in NHK program 'ヒューマニエンス 40億年のたくらみ'
- - Participated in ATR OPEN HOUSE 2025
- - Participated in the 50th Anniversary Event of the Japan Neuroscience Society 'NeuroArt 50: Creativity Born from the Brain - Intersection of Biology, AI, and Aesthetics'