#brain decoding

[teledyn]

Movie reconstruction from mouse visual cortex activity

The goal of the study was improving reconstruction performance rather than advancing theoretical understanding of neural processing, so the results will be of practical interest to the brain decoding community.

[kamitani-lab]

Moving intentions from brains to machines

Brain–computer interface (BCI) research has achieved remarkable technical progress but remains limited in scope, typically relying on motor

[kamitani-lab]

脳とAIは似ているか: NeuroAIの挑戦｜神谷之康（Yukiyasu Kamitani）

（人工知能学会誌『人工知能』掲載予定の原稿を一部改訂したものです。編集部の許可を得て掲載しています。内容は2023年の日本心理学会シンポジウムでの発表をベースにしています[スライド]） はじめに 「脳とAIは似ているか」という古くからある問いは、近年のAIの急速な進展によっ

[kamitani-lab]

Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural

A recent high-profile study by Koide-Majima et al. (2024) claimed a major advance in reconstructing visual imagery from brain activity using

[kamitani-lab]

Pierre Huyghe | In Imaginal

[kamitani-lab]

https://www.nytimes.com/2025/06/10/arts/design/pierre-huyghe-goodman-gallery-ai-art-video.html

[kamitani-lab]

Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation

Reconstructing sounds from fMRI data has been challenging due to its limited temporal resolution. This study develops method based on a deep

[kamitani-lab]

Inter-individual and inter-site neural code conversion without shared stimuli - Nature Computational Science

A neural code conversion method is introduced using deep neural network representations to align brain data across individuals without share