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Behavioral neurologist and vision scientist at the University of Pennsylvania https://www.gkaguirre.com/
Geoffrey Aguirre









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We're excited to share our new study on decoding brain activity in participants with post-stroke aphasia! We think this is an important step towards cognitive brain-computer interfaces for patients with language disorders www.biorxiv.org/content/10.6... 1/8
A clever addition to multi-echo analysis that reduces warping from head motion. The MEDIC software is available here: github.com/vanandrew/wa...
Man I missed out on being on that 900 author paper. I’m holding out for a 9000 author paper.
Peak retired academic moment. 1. One of those emails: Are you the R Watt who wrote xxxxxx? 2. Nope, but it sounds vaguely interesting. Wonder what they found. 3. Google - read it and discover that I did write it.
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🚨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/
I read bioRxiv titles in all caps as the scientist excitedly yelling the result to their colleagues. Can you believe it?? SENSORY MAPS IN THE TELENCEPHALIC PALLIUM!!
I am standing for election to the VSS board. The slate of candidates [with 25% immodesty] is fantastic. Please consider engaging in the difficult decision process of identifying a just-noticeable-difference in great folks who are eager to serve vision science.
9d
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Very cool. The white matter connectivity of early visual cortex recapitulates the polar angle variation of retinal structure. One look at this figure and you know you are in the world of retinal meridians and that Marisa Carrasco will be making an appearance.
Geoffrey Aguirre
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
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