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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!
1mo
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!
2mo
1mo
🚨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/
2mo
2d
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...
13d
9h
2d
YouTube video by National Academy of Sciences
www.youtube.com
NAS 163rd Annual Meeting - Awards Ceremony
Video
9d
15d
M.J. Crockett
Chris Baker
Chris Baker
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...
arxiv.org
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
Individuals vary considerably in their ability to recognize faces. Such variability may in part reflect individual differences in exposure to faces ba…
www.sciencedirect.com
The visual perks of (not) being a wallflower: sociality is a stronger predictor of individual differences in face recognition than childhood experiences
William Ngiam | 严祥全
Paul Taylor
Paul Taylor
Amirali Soltani Tehrani
Dan Handwerker
www.visionsciences.org
VSS Pre-Data-Collection Poster SessionPre-Data-Collection Poster Session – Vision Sciences Society
J. Brendan Ritchie
Video
Michelle Greene
me-ica.github.io