Arjun Dave

The goal of a PhD is not to learn some facts or read a few papers or learn a bunch of techniques. The goal of a PhD is to learn independence, problem solving, how to finish things you start, resilience, & gain the ability to adapt & think creatively. Learning these things is hard.

Check out the poster at OHBM tomorrow and oral presentation on 28th June (ww6.aievolution.com/hbm2501/Abst...)! #OHBM #OHBM2025

GitHub - spm/spm-python: The Python interface to SPM The Python interface to SPM. Contribute to spm/spm-python development by creating an account on GitHub.

Drumroll... The SPM team will announce that SPM is now fully accessible from Python! 🐍 Learn more about SPM-Python at the SPM roundtable event (Friday, 1pm) and poster number 1841 at #OHBM2025. Try the beta for yourself at github.com/spm/spm-python [2/7]

We are very excited to announce the open release of a new 170 participant dataset: Linked MEG, TMS, multimodal 3T MRI, 7T MRI, Connectom MRI, cognitive /questionnaire data. Immense effort from a fabulous
CUBRIC team. Paper by Carolyn McNabb et al: doi.org/10.1038/s415...

New paper in Imaging Neuroscience by Clemens Pollak, Martin Reuter, et al:

FastSurfer-LIT: Lesion inpainting tool for whole-brain MRI segmentation with tumors, cavities, and abnormalities

doi.org/10.1162/imag...

A new Python toolbox called HSSM simplifies working with Hierarchical Sequential Sampling Models (HSSMs) to understand how we accumulate evidence and make choices. Built on PyMC, Bambi, & ArviZ. Check it out! #cognitivescience #python #decisionmaking

edspace.american.edu/openbehavior...

Methods for Analyzing Large Neuroimaging Datasets This Open Access volume explores advancements in methodologies, efficient code management, and scalable data processing of neuroimaging datasets.

This book now available *open access* through Springer Neuromethods: link.springer.com/book/10.1007....

@brainalien.bsky.social and I extend heartfelt thanks to all contributing authors for their exceptional work, w/ special gratitude to Paul Thompson @ptenigma.bsky.social for an inspiring foreword

Computational Brain & Behavior | Volume 7, issue 4 Volume 7, issue 4 articles listing for Computational Brain & Behavior

✨📝 Special issue “What Makes a Good Theory? Interdisciplinary Perspectives”, edited by @irisvanrooij.bsky.social @devezer.bsky.social @jcskewes.bsky.social Sashank Varma & Todd Wareham in journal Computational
Brain & Behavior. link.springer.com/journal/4211... 🧪

Between-movie variability severely limits generalizability of “naturalistic” neuroimaging “Naturalistic imaging” paradigms, where participants watch movies during fMRI, have gained popularity over the past two decades. Many movie-watching studies measure inter-subject correlation (ISC), wh...

www.biorxiv.org/content/10.1...

Between-movie variability severely limits generalizability of "naturalistic" neuroimaging.

Not sure about the (over)generalization to all of naturalistic neuroimaging, nor the claim that this severely limits the approach.

But definitely provides food for thought.

Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography.

Amazing technique by Walsh et al: www.nature.com/articles/s41...

𝗕𝗿𝗮𝗶𝗻 𝗿𝗲𝗴𝗶𝗼𝗻𝘀 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱 𝗶𝗻 𝘁𝗵𝗿𝗲𝗮𝘁/𝘀𝗮𝗳𝗲𝘁𝘆
In a previous fMRI study we use a broad set of regions. Are there other studies that have good sets of ROIs?
Are there some important regions missing from our set?
Thanks.
🧠
pmc.ncbi.nlm.nih.gov/articles/PMC...