A paper is published in collaboration with psychiatrists.
The study highlights the potential of BPQ-BAVSF-J questionnaire as a clinical tool for monitoring interoception and liver health in AUD patients.
https://t.co/Qqhxlih3TX
We are thrilled to announce our new home. As of April 1st 2024, the BMK Digital Cognitive Neuroscience Lab at Hiroshima University will have a new affiliation at the Center for Brain Integration Research at the Tokyo Medical and Dental University. @maro_machizawa@TMDUniversity
Our collaboration with our previous undergraduate interns, Giselle London and Hiroko Hida from @TempleUniv, led to a successful publication!
Congratulations!
第19回日本感性工学会春季大会で株式会社フロンティアインターナショナル社とのコラボについて口頭発表しました。「“体験の質モデル”の開発」@maro_machizawa delivered a talk about a collaborative work with FRONTIER INTERNATIONAL INC. at the Japan Society of Kansei Engineering. 2024.03.07
Our multinational effort (#EEGManyLabs) to evaluate the replicability of the Contralateral delay activity as a marker of visual working memory capacity is preregistered, accepted in Cortex and running now.
https://t.co/6VePRVmlAP
@maro_machizawa@digitalcogneuro@xiberlinc
Tung and our IEEE Proceeding is out now! @maro_machizawa@DangTha05385036
Decoding time-course of saliency network of fMRI signals by EEG signals using optimized forward variable selection: a concurrent EEG-fMRI study https://t.co/Q8SxI089DX
Our collaborative IEEE proceeding with Dr Kanayama and Dr Miyakoshi is out now. @maro_machizawa
Kanayama, N., Miyakoshi, M., & Machizawa, M. (2023). Evaluation of neural response recorded using scalp EEG in virtual reality environment https://t.co/KwiIMyBQOs
We found little evidence you can trust yourself about your visual content and what your brain sees.
@kathrynbates47
Behavioral and Neural Correlates of Visual Working Memory Reveal Metacognitive Aspects of Mental Imagery https://t.co/KLNb53AkD6
Maro presented papers at the #APSIPA 2023. #decoding#VR_EEG
2. Evaluation of Neural Response Recorded Using Scalp EEG in Virtual Reality Environment (Kanayama, Miyakoshi & Machizawa)
Maro presented papers at the #APSIPA 2023. #decoding#VR_EEG
1. Decoding Time-Course of Saliency Network of fMRI Signals by EEG Signals Using Optimized Forward Variable Selection: A Concurrent EEG-fMRI Study (Dang, et al.)
wonderful! great organization by moonshot 1 committee and team members!
towards trusted neuroscience technologies (BCI/BMI/Brain stimulation, etc)
https://t.co/GIrNIlSp0d