iiinova — where your digital self keeps evolving

Ken Shirakawa

@kencan7749.bsky.social

29 followers 51 following 16 posts

Ph.D. candidate in Kyoto university and ATR/ Brain decoding / fMRI / neuroAI / neuroscience

Posts Replies Media

Reposted by Ken Shirakawa

Alessandro Gifford @alessandrogifford.bsky.social · 12/02/2026

NSD-synthetic, the out-of-distribution companion dataset of NSD consisting of 7T fMRI responses to 284 artificial images, is now published. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.1038/s414...

02714

Ken Shirakawa @kencan7749.bsky.social · 10/02/2026

This thread aligns closely with the core claim of our paper. While naturalistic stimuli are highly valuable, large-scale natural data can yield spurious successes due to unintended shortcuts in complex analysis pipelines. doi.org/10.1016/j.ne...

doi.org

Redirecting

010

Reposted by Ken Shirakawa

Ken Shirakawa @kencan7749.bsky.social · 13/06/2025

Our paper is now accepted at Neural Networks! This work builds on our previous threads in X, updated with deeper analyses. We revisit brain-to-image reconstruction using NSD + diffusion models—and ask: do they really reconstruct what we perceive? Paper: doi.org/10.1016/j.ne... 🧵1/12

doi.org

Redirecting

133

Ken Shirakawa @kencan7749.bsky.social · 13/06/2025

And here’s an experimental podcast-style of paper summary, generated via Notebook LM directed by me! Link: notebooklm.google.com/notebook/9c8...

notebooklm.google.com

000

Ken Shirakawa @kencan7749.bsky.social · 13/06/2025

doi.org

Redirecting

133

Reposted by Ken Shirakawa

arxiv cs.CV @arxiv-cs-cv.bsky.social · 14/05/2025

Yukiyasu Kamitani, Misato Tanaka, Ken Shirakawa Visual Image Reconstruction from Brain Activity via Latent Representation arxiv.org/abs/2505.08429

043

Reposted by Ken Shirakawa

Martin Hebart @martinhebart.bsky.social · 11/12/2024

One big issue with some of the previous claims are that NSD, the massive 7T fMRI dataset of 1000s of images, might not be the right dataset to test these hypotheses. The reason is that it is built on MSCoCo and has too high similarity between training and test. arxiv.org/abs/2405.10078 16/n

arxiv.org

161

Ken Shirakawa @kencan7749.bsky.social · 16/11/2024

I’m currently concerned about what the brain’s encoding model predicts. Given that the target brain state is collected under naturalistic condition and the inputs of encoding model derived from a deep neural network, I am not sure what the predictions are actually represent.

000

Ken Shirakawa @kencan7749.bsky.social · 16/11/2024

arxiv.org/abs/2405.10078

arxiv.org

Spurious reconstruction from brain activity

Advances in brain decoding, particularly visual image reconstruction, have sparked discussions about the societal implications and ethical considerations of neurotechnology. As these methods aim to re...

010