Last weekend I received the Troland Research Award from the @nationalacademies.org. I’m so grateful to the communities who made this work possible.
It's strange to receive this award at a time when much of the work being recognized is not eligible for federal funding.
My remarks 👇 and a 🧵>>
Alex Martin talked about his "eclectic" career spanning over 4 decades, including 31 years in the Laboratory of Cognition (NIH), with some reflections on what makes a successful scientific career: "the right place at the right time", "it's good to be first", "controversy is helpful"
VSS (@vssmtg.bsky.social) is coming up! Do you have an idea for a vision experiment but want to check you haven't missed anything? Looking for collaborators or relevant resources? Wanting to chat about a theory or model? Consider the pre-data poster session! www.visionsciences.org/pre-data-col...
Second day of ‘Foundations and Frontiers in Cognitive Neuroscience’ in honor of Alex Martin
Job ad (2/2): data scientist in the AFNI group (SSCC, NIMH, NIH, USA).
FMRI/MRI methods dev, software design, statistics, analysis, data viz, quality control, machine learning and more!
Please see:
discuss.afni.nimh.nih.gov/t/job-ad-dat...
I am happy to chat at OHBM+Brainhack.
Please share!
Last week, I had the chance to present our work at #VSS2026! This was my first time presenting a poster, and I was really excited! Special thanks to @maryamvaziri.bsky.social and all the collaborators for this opportunity.
Looking forward to making new connections and attending future conferences.
About to start my travel to #OHBM2026 Excited to help organize a full day ed course on multi-echo fMRI. Schedule is here: me-ica.github.io/ohbm-2026-mu... @enekourunuela.com @drjuliamoser.bsky.social @dowdlelt.bsky.social @ohbmofficial.bsky.social
Job ad (1/2): Postdoc fellowship in the AFNI group (SSCC, NIMH, NIH, USA).
FMRI/MRI methods dev, software design, statistics, analysis, data viz, quality control, machine learning and more!
Please see:
discuss.afni.nimh.nih.gov/t/job-ad-pos...
I am happy to chat at OHBM+Brainhack.
Please share!
🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/
Spencer and MJ’s project is now out! Let me say something about the study, why it is important to me personally, and why I think it is important given what is happening right now at NIH and how science there is being disrupted or suppressed. 1/N (N = 19) www.sciencedirect.com/science/arti...
Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limi...
Individuals vary considerably in their ability to recognize faces. Such variability may in part reflect individual differences in exposure to faces ba…