@growing_daniel they were/are still the gold standard for running experiments on the human visual system, so academic labs will seek them out sometimes. https://t.co/UMzz8Mz5ay
I spent most of my twenties envious of college friends’ tech holiday parties.
The wisdom of my 30s is knowing that the PPA (parahippocampal party area) event at my academic neuro conference was the more rare, special experience.
baseline human performance comes up so often in my work now, but we're often constrained in what we can feasibly measure empirically. can't wait to dig in to this!
Excited to announce Centaur -- the first foundation model of human cognition. Centaur can predict and simulate human behavior in any experiment expressible in natural language. You can readily download the model from @huggingface and test it yourself: https://t.co/nLBYhHpCtT
Congratulations to @dfinz for the NeuroAI Best Paper Award Sponsored by @NVIDIA for her paper: "Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams" @eshedmargalit@cvnlab@dyamins K.Grill-Spector
@Tweetermeyer i can correct an AV if i have good knowledge of its failure modes (like gradually learning ADAS features), or if i'm given ample time to take over (like the MB drive pilot).
i will never be a reasonable safety fallback to correct a sudden veer into a cyclist in real-time.
@Tweetermeyer one thing missing from this: even if humans are 100% attentive, we are not nearly as good at "the fallback role" -- correcting an AV's unpredictable and un-human-like errors -- as we are at natural driving.
... but what *is* a psychophysics-based approach to problems in the AV space?
I wrote a blog about how our team at PA tackles pedestrian relevance modeling by considering human visual intuition: https://t.co/08iDiE5FZW
my team at @perceptive_auto is hiring! we are building a new approach to AI that incorporates psychophysics and cognitive science, breaking down complex human intuition into something machines can learn and replicate at scale.
I’ve shared some of the lessons over my career in startups here. I loved reflecting on what I learned from folks like @balvarado@collision@gdb@ivanhzhao@patrickc. And thank you to all who’ve made an investment in me and supported my career to date! 6/7 https://t.co/ykRGQE3LWE
Latest lab work in @NatureNeuro. The Natural Scenes Dataset, a deep (large-data-per-subject) 7T fMRI neuroimaging resource for vision and memory, coupled with optimized single-trial estimation methods. For people who are good with data. https://t.co/XUdmhVGthK
I made an online tool for taking structured, searchable, and shareable notes on academic papers: https://t.co/DfI1xB7eTC
After 2+ years of using it myself, I'm excited to share it more broadly! Details in thread: