Ryuto Yashiro

Postdoc in Berlin, aiming to understand the neural representation of multimodal information for scene recognition
Currently with @TimKietzmann and @AdrienDoerig

[Ryuto Yashiro @Ryuto_Y]

When is ensemble perception formed in the brain?

Our new paper addresses this question by decoding the representational strength of an average of multiple orientations from EEG signals.

https://t.co/Q64mYFQwd0

[Victoria Bosch @__init_self]

Are brains and artificial neural networks converging onto universal representations?
There is a seductive idea making the rounds in NeuroAI / ML: train systems well enough, and they'll converge on the same representation of reality (i.e. unique world model).

We have Thoughts™

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience by Ryuto Yashiro, Kaoru Amano, et al:

Probing the content of semantic representations in body-selective regions

https://t.co/eR06hJS5Xu

[Ryuto Yashiro @Ryuto_Y]

Many thanks to the co-authors, Masataka Sawayama @mswym8, Ayumu Yamashita, and Kaoru Amano for making this work possible!

https://t.co/bQaLa3ehzx

[Ryuto Yashiro @Ryuto_Y]

Excited to share our new paper: "Probing the content of semantic representations in body-selective regions"

We propose a framework based on object co-occurrence to interpret semantic representations of natural scenes predicted by LLM embeddings.

https://t.co/bQaLa3ehzx

[Ryuto Yashiro @Ryuto_Y]

Overall, we propose a framework that advances the traditional view of category selectivity but preserves the interpretability of neural representations.
This can be extended to any regions and categories, providing a promising approach for interpreting visual representations.

[Mugihiko Kato/加藤麦彦 @mugihiko_k]

Current DNNs perform remarkably well in object recognition, but do humans and DNNs really see objects in the same way? I’m excited to share our new paper addressing this question.
https://t.co/C2JtLKdIeo

[Daniel Anthes @AnthesDaniel]

Excited about our new preprint: “The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream”

https://t.co/IbtXBTQb5t

Work with Sushrut Thorat, Anna Mitola, Paolo Papale, Peter König & Tim Kietzmann

[Zejin Lu | 陆泽金 @lu_zejin]

Now out in Nature Machine Intelligence @NatMachIntell “Adopting a human developmental visual diet yields robust and shape-based AI vision”:
https://t.co/vJDuIJgi7C. A wonderful case where brain inspiration improved AI solutions.
With @martisamuser, Radek Cichy and @TimKietzmann.

[Adrien Doerig @AdrienDoerig]

We wrote a book! https://t.co/jC3XBHbmLn

Consciousness science is a fascinating but bewildering field: many competing theories, little consensus, and big open questions.

If you are looking for an accessible guide through this complex landscape, this book is for you.

[Victoria Bosch @__init_self]

Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language.

tl;dr: you can now chat with a brain scan 🧠💬

1/n

[Ryuto Yashiro @Ryuto_Y]

📢Excited to share our new preprint: "Probing the content of semantic representations in body-selective regions"!

We found that:
(1) Responses in body-selective regions are associated with objects co-occurring with human bodies.

[Ryuto Yashiro @Ryuto_Y]

📝For more details including our new analysis focusing on object co-occurrence in natural scenes, check out our preprint:

https://t.co/GulwE31yqM

[Ryuto Yashiro @Ryuto_Y]

📢Excited to share our new preprint: "Probing the content of semantic representations in body-selective regions"!

We found that:
(1) Responses in body-selective regions are associated with objects co-occurring with human bodies.

[Ryuto Yashiro @Ryuto_Y]

(2) Multiple features jointly shape the representations in body-selective regions: implied motion, number, and body size of people in natural scene images.