Yuki Kamitani
@ykamit.bsky.social
Yukiyasu Kamitani | 神谷之康 Neuroscientist and brain decoder
http://kamitani-lab.ist.i.kyoto-u.ac.jp
http://youtube.com/@ATRDNI/videos
https://twitter.com/ykamit
http://kamitani-lab.ist.i.kyoto-u.ac.jp
http://youtube.com/@ATRDNI/videos
https://twitter.com/ykamit
Reposted by Yuki Kamitani
Between October 13-17th we ran the second edition of Ibn Sina Neurotech School hosted and sponsored by NYUAD Center for Brain and Health and @ibroorg.bsky.social
We welcomed 18 students from across the world to learn hands-on about fMRI data collection and processing
We welcomed 18 students from across the world to learn hands-on about fMRI data collection and processing
October 26, 2025 at 9:06 PM
Between October 13-17th we ran the second edition of Ibn Sina Neurotech School hosted and sponsored by NYUAD Center for Brain and Health and @ibroorg.bsky.social
We welcomed 18 students from across the world to learn hands-on about fMRI data collection and processing
We welcomed 18 students from across the world to learn hands-on about fMRI data collection and processing
SfN 2025 satellite Symposium
DATES: Thursday 13 November ~ Friday 14 November 2025 (cf. SfN2025; November 15~19)
VENUE: CORTEZ HILL Room (3rd floor), MANCHESTER GRAND HYATT SAN DIEGO
1Market Place, San Diego CA 92101, USA.
www.jst.go.jp/kisoken/cres...
DATES: Thursday 13 November ~ Friday 14 November 2025 (cf. SfN2025; November 15~19)
VENUE: CORTEZ HILL Room (3rd floor), MANCHESTER GRAND HYATT SAN DIEGO
1Market Place, San Diego CA 92101, USA.
www.jst.go.jp/kisoken/cres...
SfN 2025 satellite Symposium | CREST
www.jst.go.jp
October 17, 2025 at 2:48 AM
SfN 2025 satellite Symposium
DATES: Thursday 13 November ~ Friday 14 November 2025 (cf. SfN2025; November 15~19)
VENUE: CORTEZ HILL Room (3rd floor), MANCHESTER GRAND HYATT SAN DIEGO
1Market Place, San Diego CA 92101, USA.
www.jst.go.jp/kisoken/cres...
DATES: Thursday 13 November ~ Friday 14 November 2025 (cf. SfN2025; November 15~19)
VENUE: CORTEZ HILL Room (3rd floor), MANCHESTER GRAND HYATT SAN DIEGO
1Market Place, San Diego CA 92101, USA.
www.jst.go.jp/kisoken/cres...
New preprint from our lab led by Onoo-san. We propose readout representation, defining neural codes by what can be recovered, not what caused them. Inputs remain recoverable from distant features, revealing expansive, redundant codes that align neural activation with meaning arxiv.org/abs/2510.12228
October 16, 2025 at 2:03 PM
New preprint from our lab led by Onoo-san. We propose readout representation, defining neural codes by what can be recovered, not what caused them. Inputs remain recoverable from distant features, revealing expansive, redundant codes that align neural activation with meaning arxiv.org/abs/2510.12228
New preprint from our lab, led by Otsuka-san. In brain–AI alignment, linear transformations are common—but when features ≫ samples, outputs collapse onto the training set, breaking zero-shot predictions. We mathematically show how data and model sparsity can help avoid this.
arxiv.org/abs/2509.15832
arxiv.org/abs/2509.15832
Overcoming Output Dimension Collapse: How Sparsity Enables Zero-shot Brain-to-Image Reconstruction at Small Data Scales
Advances in brain-to-image reconstruction are enabling us to externalize the subjective visual experiences encoded in the brain as images. Achieving such reconstruction with limited training data requ...
arxiv.org
September 23, 2025 at 9:42 AM
New preprint from our lab, led by Otsuka-san. In brain–AI alignment, linear transformations are common—but when features ≫ samples, outputs collapse onto the training set, breaking zero-shot predictions. We mathematically show how data and model sparsity can help avoid this.
arxiv.org/abs/2509.15832
arxiv.org/abs/2509.15832
Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation”
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
Visual Image Reconstruction from Brain Activity via Latent Representation | Annual Reviews
Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. T...
www.annualreviews.org
September 18, 2025 at 3:40 AM
Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation”
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
Reposted by Yuki Kamitani
Reconstructing sounds from #fMRI data is limited by its temporal resolution. @ykamit.bsky.social &co develop a DNN-based method that aids reconstruction of perceptually accurate sound from fMRI data, offering insights into internal #auditory representations @plosbiology.org 🧪 plos.io/4fhNw1Z
July 25, 2025 at 2:07 PM
Reconstructing sounds from #fMRI data is limited by its temporal resolution. @ykamit.bsky.social &co develop a DNN-based method that aids reconstruction of perceptually accurate sound from fMRI data, offering insights into internal #auditory representations @plosbiology.org 🧪 plos.io/4fhNw1Z
Can we hear what's inside your head? 🧠→🎶
Our new paper, led by Jong-Yun Park, presents an AI-based method for reconstructing arbitrary natural sounds directly from a person's brain activity measured with fMRI.
journals.plos.org/plosbiology/...
Our new paper, led by Jong-Yun Park, presents an AI-based method for reconstructing arbitrary natural sounds directly from a person's brain activity measured with fMRI.
journals.plos.org/plosbiology/...
July 24, 2025 at 10:36 AM
Can we hear what's inside your head? 🧠→🎶
Our new paper, led by Jong-Yun Park, presents an AI-based method for reconstructing arbitrary natural sounds directly from a person's brain activity measured with fMRI.
journals.plos.org/plosbiology/...
Our new paper, led by Jong-Yun Park, presents an AI-based method for reconstructing arbitrary natural sounds directly from a person's brain activity measured with fMRI.
journals.plos.org/plosbiology/...
Reposted by Yuki Kamitani
Out now! @ykamit.bsky.social and colleagues present a neural code conversion method to align brain data across individuals without shared stimuli. The approach enables accurate inter-individual brain decoding and visual image reconstruction across sites. #compneurosky
www.nature.com/articles/s43...
www.nature.com/articles/s43...
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 shared stimuli. The approach enables accurate inter-individual br...
www.nature.com
July 11, 2025 at 12:25 PM
Out now! @ykamit.bsky.social and colleagues present a neural code conversion method to align brain data across individuals without shared stimuli. The approach enables accurate inter-individual brain decoding and visual image reconstruction across sites. #compneurosky
www.nature.com/articles/s43...
www.nature.com/articles/s43...
Reposted by Yuki Kamitani
Spurious reconstruction from brain activity https://www.sciencedirect.com/science/article/pii/S0893608025003946 by @ykamit et al.; more information in the Bluesky thread https://bsky.app/profile/kencan7749.bsky.social/post/3lri44htxek25 #bci #neurotech #neuroscience
"Our findings suggest that […]
"Our findings suggest that […]
Original post on mas.to
mas.to
June 13, 2025 at 9:35 AM
Spurious reconstruction from brain activity https://www.sciencedirect.com/science/article/pii/S0893608025003946 by @ykamit et al.; more information in the Bluesky thread https://bsky.app/profile/kencan7749.bsky.social/post/3lri44htxek25 #bci #neurotech #neuroscience
"Our findings suggest that […]
"Our findings suggest that […]
Reposted by Yuki Kamitani
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
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
Redirecting
doi.org
June 13, 2025 at 9:17 AM
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
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
Our overview of visual image reconstruction from brain activity is in press at Annual Review of Vision Science. We explore its foundations, how the field evolved, where it went astray—and how to set it right
arxiv.org/abs/2505.08429
arxiv.org/abs/2505.08429
Visual Image Reconstruction from Brain Activity via Latent Representation
Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. T...
arxiv.org
May 14, 2025 at 2:28 PM
Our overview of visual image reconstruction from brain activity is in press at Annual Review of Vision Science. We explore its foundations, how the field evolved, where it went astray—and how to set it right
arxiv.org/abs/2505.08429
arxiv.org/abs/2505.08429
Reposted by Yuki Kamitani
Yukiyasu Kamitani, Misato Tanaka, Ken Shirakawa
Visual Image Reconstruction from Brain Activity via Latent Representation
https://arxiv.org/abs/2505.08429
Visual Image Reconstruction from Brain Activity via Latent Representation
https://arxiv.org/abs/2505.08429
May 14, 2025 at 7:10 AM
Yukiyasu Kamitani, Misato Tanaka, Ken Shirakawa
Visual Image Reconstruction from Brain Activity via Latent Representation
https://arxiv.org/abs/2505.08429
Visual Image Reconstruction from Brain Activity via Latent Representation
https://arxiv.org/abs/2505.08429
Updated preprint, now in press at Neural Networks
arxiv.org/abs/2405.10078
arxiv.org/abs/2405.10078
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...
arxiv.org
May 8, 2025 at 1:24 AM
Updated preprint, now in press at Neural Networks
arxiv.org/abs/2405.10078
arxiv.org/abs/2405.10078
Reposted by Yuki Kamitani
I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵
December 11, 2024 at 10:18 PM
I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵
New preprint, led by Ken Shirakawa. Using inappropriate generative AI methods and naturalistic data, seemingly realistic but spurious visual image reconstruction can be generated from brain data (even from random data). We describe it and formulate how it occurs
arxiv.org/abs/2405.10078
arxiv.org/abs/2405.10078
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...
arxiv.org
May 25, 2024 at 12:52 AM
New preprint, led by Ken Shirakawa. Using inappropriate generative AI methods and naturalistic data, seemingly realistic but spurious visual image reconstruction can be generated from brain data (even from random data). We describe it and formulate how it occurs
arxiv.org/abs/2405.10078
arxiv.org/abs/2405.10078
While investigating the issues of questionable brain decoding and reconstruction (osf.io/nmfc5/#!), Misato Tanaka from my lab found that the seminal paper by Nishimoto, Naselaris, Benjamini, Yu, & Gallant (2011) appears to use highly similar stimuli across both training and test sets. ...
May 2, 2024 at 1:42 PM
While investigating the issues of questionable brain decoding and reconstruction (osf.io/nmfc5/#!), Misato Tanaka from my lab found that the seminal paper by Nishimoto, Naselaris, Benjamini, Yu, & Gallant (2011) appears to use highly similar stimuli across both training and test sets. ...
New preprint from our lab! Led by Wang-san, this work introduces a content-loss-based functional alignment of brain data, which does not require shared stimuli between subjects/datasets; greatly expanding the potential of data reuse
arxiv.org/abs/2403.11517
arxiv.org/abs/2403.11517
March 19, 2024 at 1:41 PM
New preprint from our lab! Led by Wang-san, this work introduces a content-loss-based functional alignment of brain data, which does not require shared stimuli between subjects/datasets; greatly expanding the potential of data reuse
arxiv.org/abs/2403.11517
arxiv.org/abs/2403.11517
Exhibition of Pierre Huyghe "Liminal"
From 17 March 2024 to 24 November 2024 At Punta della Dogana, Venice, Italy
www.pinaultcollection.com/palazzograss...
We provided brain-decoded images and moves for some of the works
From 17 March 2024 to 24 November 2024 At Punta della Dogana, Venice, Italy
www.pinaultcollection.com/palazzograss...
We provided brain-decoded images and moves for some of the works
February 16, 2024 at 1:58 PM
Exhibition of Pierre Huyghe "Liminal"
From 17 March 2024 to 24 November 2024 At Punta della Dogana, Venice, Italy
www.pinaultcollection.com/palazzograss...
We provided brain-decoded images and moves for some of the works
From 17 March 2024 to 24 November 2024 At Punta della Dogana, Venice, Italy
www.pinaultcollection.com/palazzograss...
We provided brain-decoded images and moves for some of the works
Exhibition of Mogens Jacobsen"Restruktion" at Ringsted Gallery, Denmark, where one of the works was created in collaboration with my lab
kunsten.nu/artguide/cal...
kunsten.nu/artguide/cal...
February 16, 2024 at 1:47 PM
Exhibition of Mogens Jacobsen"Restruktion" at Ringsted Gallery, Denmark, where one of the works was created in collaboration with my lab
kunsten.nu/artguide/cal...
kunsten.nu/artguide/cal...