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
CuttingGardens 2026
A distributed multi-hub conference on cutting-edge M/EEG analysis methods.
BR41N.IO Hackathon @ IEEE SMC
g.tec's BCI hackathon during IEEE SMC — build brain-computer interface apps in a day.
Live · auto-updating
The Pulse of Neurotech
Can nondual awareness become a civic technology?
A web search suggests that nondual awareness has developed a substantial digital ecosystem. Sam Harris’s secular Waking Up app claims millions of users and a 50,000-member community; Rupert Spira and Science and Nonduality each reach hundreds of thousands through YouTube; Loch Kelly packages “glimpses” of nondual awareness into brief exercises; and the Headless Way, Liberation Unleashed, and Reddit’s nonduality forum offer free experiments, personal guidance, and discussion. This is still a subculture, but no longer an obscure one. The surrounding terrain is favorable. The proportion of Americ
NITRC v2.1.76 released
We are pleased to announce the release of NITRC v2.1.76. NITRC now supports large files in the File Release System, streamlining the release of modern software and datasets. Several other bugs and feature requests were also addressed. Release notes can be found at https://www.nitrc.org/plugins/mwiki/index.php?title=nitrc:NITRC_Release_Notes#NITRC-R_Release_v2.1.76-2_-_8.2F27.2F2026
CAT26 T1w grey matter (longitudinal) segmentation and expert GUI setting/tracing issues
Hi CAT users and other experts, I have multiple issues with longitudinal preprocessing of of T1w scans in CAT26.0.rc3/4 (in SPM25.01.02 in Matlab 2025a) with the standard and expert GUI. Problem A: My pediatric (8-12 y/o) (longitudinal) segmentations have big chunks of sinuses wrongly classified as GM, although I use CAT’s pediatric tissue probability maps (TPM): I have tried to modify several settings like: Strength of Final Clean Up (cleanupstr): strong (0.75), heavy (1.00) Modify Affine Scaling (affmod): -4-10% Skull-Stripping (gcutstr): APRG approach V2 tighter (2.9), APRG approach (f
Job: Assistant Professor in Human Neuroscience, University of Utah
The University of Utah is looking for an Assistant Professor at the intersection of human neuroscience, developmental science, and computational approaches. I hope some of you might be interested! https://employment.utah.edu/salt-lake-city-ut/assistant-professor-in-human-neuroscience-in-the-department-of-psychology/CC6087B96EC8447881C296F793696C45/job/ 1 post - 1 participant Read full topic
fMRIPost-aroma and fMRIPost-rapidtide running and compatiability in preprocessing workflow?
Hi all, I have been reading up on rapidtide and came across fmripost-rapidtide in the process. I saw here that fmripost-rapidtide was not yet running last year April: Correct point during pre/postprocessing to apply rapidtide in complex workflow - #11 by tsalo 2.5 questions: Is fmripost-rapidtide up and running? If so, how is it best used in connection with fmripost-aroma? Based on the rapidtide documentation, I assume after AROMA has been run but wanted to check on the best procedure. If this is the last step before the first level analysis, what would be the input then into, e.g., FEAT? Woul
fMRIPrep 25.2.5 reports 'finished successfully' but produces no desc-preproc_bold or confounds files
Summary of what happened: Running fMRIPrep 25.2.5 via Singularity with --level full (the default, not explicitly set at first, then confirmed explicitly). The run completes with “fMRIPrep finished successfully!” printed in the log and a 0-looking exit, but the func/ output directory only contains early registration/motion-correction files – no *_desc-preproc_bold.nii.gz, no *_desc-confounds_timeseries.tsv, for any task or participant. Reproduced identically across 2 of 9 participants so far (others still running). What the resolved config (fmriprep.toml) confirms: level = "full" spaces = "T1w
Build the future of neurotech, together.
Join thousands of innovators, students, and researchers shaping the field.