Johannes Roth's Avatar

Johannes Roth

@rothj.bsky.social

PhD student with Martin Hebart at MPI CBS & Uni Gießen | Interested in making large-scale vision fMRI studies more efficient and effective | https://jroth.space

57 Followers  |  26 Following  |  5 Posts  |  Joined: 10.11.2023  |  1.604

Latest posts by rothj.bsky.social on Bluesky


OSF

New preprint w/ Malin Styrnal & @martinhebart.bsky.social

Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are.

osf.io/preprints/ps...

04.12.2025 18:53 — 👍 59    🔁 23    💬 1    📌 4
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Investigating individual-specific topographic organization has traditionally been a resource-intensive and time-consuming process. But what if we could map visual cortex organization in thousands of brains? Here we offer the community with a toolbox that can do just that! tinyurl.com/deepretinotopy

01.12.2025 11:26 — 👍 83    🔁 40    💬 4    📌 1
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Really looking forward to #CCN2025!

On Tuesday, I'm presenting new work with @kathadobs.bsky.social on segregated vs. integrated face & body processing in visual cortex 😊🧍🧠

Using DNNs & fMRI, we test competing hypotheses, finding both distinct & shared selectivity.

Come by Poster A64 for more.

11.08.2025 13:25 — 👍 14    🔁 5    💬 0    📌 0
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Very much looking forward to #CCN2025! Would love to see you at our lab's talks and posters, and meet me at the panel discussion in the Algonauts session on Wednesday!

11.08.2025 10:51 — 👍 26    🔁 8    💬 0    📌 0

Our lab is present at #VSS2025, so let me highlight some of the things we have been up to with a talk and three posters. Would love to see you around! 🧵

17.05.2025 13:05 — 👍 22    🔁 7    💬 1    📌 0
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An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature Scientific Data - An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature

🚨 New Open Dataset Alert! 👅

We've just published a data descriptor in Scientific Data introducing the first open, annotated MRI dataset of tongue musculature, including T1- and T2-weighted images from 47 non-neurodegenerative "healthy" participants across 3 studies!

📄 Check it out: rdcu.be/el0hW

14.05.2025 12:49 — 👍 6    🔁 3    💬 1    📌 0

Thanks a lot to the CMBB for recognizing the importance of good coding habits, @commspsychol.nature.com for offering us to write this, and of course all of my excellent co-authors: Yunyan Duan, @martinhebart.bsky.social, @tsawallis.bsky.social @florianmahner.bsky.social and Philipp Kaniuth!

12.05.2025 08:23 — 👍 2    🔁 0    💬 0    📌 0

And even better, you don't need to be a programming wizard to integrate them into your research!

To use our paper, start by identifying current pain points, pick 1-2 principles that address them and integrate them into your research. Then iterate and refine! 🔁

12.05.2025 08:23 — 👍 1    🔁 0    💬 1    📌 0

The tools and practices of professional software engineering can help achieve this.

We cover proper documentation, sensible file organization, unit testing for correct results, tracking changes with version control, tips on using AI, and much more.

12.05.2025 08:23 — 👍 1    🔁 0    💬 1    📌 0

We joined forces between @tsawallis.bsky.social and @martinhebart.bsky.social labs to distill ten principles that we believe to be crucial for good research code.

A core message of the Primer is: sharing code is only worth it, if other people can understand and use it! 👨🏼‍🔬⁉️

12.05.2025 08:23 — 👍 4    🔁 1    💬 1    📌 0
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Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...

I'm happy to announce that our Primer on coding in psychology / neuroscience received the CMBB Replication award! 🏆

www.nature.com/articles/s44...

12.05.2025 08:23 — 👍 18    🔁 5    💬 1    📌 1
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Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...

Proud to announce our primer on "Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience"

www.nature.com/articles/s44...

This primer is for beginners to get started, advanced programmers to improve, and PIs.

#psychology #psychsci #cogsci #neuroskyence

15.04.2025 12:41 — 👍 110    🔁 57    💬 2    📌 5
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Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...

Many processes from industry are not appropriate or overkill for an academic setting, but we can and should be doing better than we currently are.

Our paper tries to give practical advice on how you can improve your scientific workflow, without being a coding guru.

www.nature.com/articles/s44...

16.04.2025 13:23 — 👍 141    🔁 46    💬 5    📌 3
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One of the student award winners is @lucakaemmer.bsky.social who showed feedback to foveal early visual cortex during the preparation of saccades that also reflects the content of what participants see. #CAOS2025

09.05.2025 12:19 — 👍 15    🔁 2    💬 0    📌 0
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Connect Tutorial - Malin Styrnal Summary

Do you run online studies? Different platforms have different benefits, and here I want to highlight one that may be the best of all worlds: Connect by @cloudresearch.bsky.social. Malin Styrnal in our lab wrote a tutorial on how to use it:
malin-styrnal.de/connect-tuto...
Some more thoughts below. 🧵

19.12.2024 16:01 — 👍 20    🔁 5    💬 1    📌 0

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. 🧵

11.12.2024 22:18 — 👍 142    🔁 47    💬 2    📌 6

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