Explore
Projects & resources
The NeuroTech Primer
The essential guide to Brain–Computer Interfaces — start your journey here.
Read the bookMOABB Benchmarks
The community standard for reproducible BCI dataset benchmarking.
View repoIndustry Webinars
Technical workshops from g.tec, Interaxon, Neuroelectrics, ANT Neuro, NIRx & more.
Watch archiveFUS Forward
Advancements in focused ultrasound, with host Charles Caskey.
ListenLocal Chapters
Connect with neurotech enthusiasts in 30+ cities worldwide.
Find a chapterSupport the Mission
Help keep these resources open and free. NeuroTechX is a non-profit.
DonateEvents
What's coming up
IEEE Brain Discovery & Neurotechnology Workshop
The flagship neurotech satellite alongside Society for Neuroscience 2026.
Neuroscience 2026 (SfN)
Society for Neuroscience 56th annual meeting — the world's largest neuroscience gathering.
Live · auto-updating
The Pulse of Neurotech
Translating the Brain’s Data into Clinical Insight
Utilvo DICOM Viewer Online — Client-Side DICOM Part 10 Clinical PACS Sandbox & Multi-Frame XA/CT/MR Viewer
1. Executive Summary: Client-Side Clinical PACS Sandbox & Zero-Upload DICOM Part 10 (PS3.10) Diagnostic Viewer Utilvo DICOM Viewer Online is a 100% browser-native, zero-upload clinical Picture Archiving and Communication System (PACS) sandbox and 16-bit diagnostic medical imaging viewer engineered for neuroimaging researchers, interventional radiologists, cardiologists, and biomedical engineers. Built on local WebAssembly codecs and hardware-accelerated HTML5/WebGL canvas pipelines with automatic deterministic CPU FALLBACK, it parses, decodes, windows, and measures single-frame and multi-frame
BrainFMBench: an open, living benchmark of brain MRI foundation models
We’re happy to share BrainFMBench, an open, living benchmark that evaluates structural brain MRI foundation models through frozen feature probing. Leaderboard: epics-lab.ca/BrainFMBench Code: github.com/epics-lab/BrainFMBench Paper: MedAGI workshop, MICCAI 2026 Preprint: A Comparative Evaluation of Structural MRI Foundation Models for Age, Sex, and Body-Mass Index Predictions | bioRxiv What it does Runs every model as a frozen encoder on the same subjects and preprocessing, then evaluates it with a linear and a random forest probe, 5 fold CV over 5 seeds with held out test sets Datasets: NKI,
Missing regions registered in CIFTI but not in NIFTI format
Summary of what happened: I have a subject that had parts of the cortex missing during their functional scan due to a bounding box setup issue during acquisition (see bbregister output in fMRIPrep report), however their anatomical scan was fine. After running fMRIPrep and xcp-d to preprocess and denoise/smooth, it seems like their dtseries had non-zero values for all cortical vertices. However, compared to a worse case example with even more missing regions (again due to bounding box issues), the dtseries would appropriately record the vertices that were outside of the bounding box as zeros. W
Be vigilant! - Increasing occurrences of spam on NeuroStars
Hi all, I have been noticing a large increase in spam accounts on NeuroStars. I have been actively blocking these accounts and trying to proactively block certain phrases that they use, but some are still slipping through the cracks or instead messaging users privately. While we work out the best way to handle these accounts moving forward, please watch out for these spammers and do not click suspicious links. Please flag the messages for the moderators to review. For reference these messages usually contain links advertising a false service for helping with paper writing (e.g. “PaperHelp” or
Post-doc vacancy in the SPM team
Hi NeuroStars Community, I am recruiting a post-doctoral researcher, to develop multivariate analysis methods for functional and structural neuroimaging data. The vacancy is in my team (the Neurovascular Modelling Group), which forms part of the Methods Group, who develop the open-source SPM software package. The position will be full time in-person in London, England, at the Functional Imaging Laboratory (the FIL), UCL Department of Imaging Neuroscience, Queen Square. The role would suit someone interested in developing statistical analysis tools for detecting multivariate patterns of activit
Build the future of neurotech, together.
Join thousands of innovators, students, and researchers shaping the field.