deanpospisil
asst prof computational neuroscience UIUC
publish.illinois.edu/pospisil-lab/
- New paper out at PNAS: www.pnas.org/doi/10.1073/... Revisiting the high-dimensional geometry of population responses in the visual cortex with @jpillowtime.bsky.social. The review took forever because a reviewer was doubtful our new estimator can infer eigenvalues beyond the rank of the data! (1/6)
- Prior work concluded that the eigenvalues of mouse primary visual cortex responses to natural images followed a power-law with a slope of 1 (go.nature.com/3TcQITc). They argued this was a critical balance between representation smoothness and efficiency. (2/6)
- We find that the estimator (cvPCA) used to determine this slope was biased and we propose a novel approach (MEME) to inferring eigenvalues that is robust to noise correlation and can even infer eigenvalues beyond the rank of the data. (3/6)
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View full threadIf you are interested in eigenvalues consider applying MEME: github.com/dapospisil/r... Special thanks to @computingnature.bsky.social for practicing open science and feedback! And if you want to work on high-d estimators (or connectomes, mechanistic model inference) come join me at UIUC! (6/6)
- Reposted by deanpospisilThat image is from 1961 and an idealization. Here is an actual trajectory of fixational eye movements. The dots are 2 ms apart. If a midget ganglion cell, with single-cone receptive field, fires at 100 Hz, then every spike reports about a different cone. How can we ever read anything?
- Thrilled to join UIUC as Prof of Computational Neuroscience! Lets figure the brain out before we're dead! Recruiting PhDs via CS, ECE & Psych. We study stats methods, mechanistic model inference (w/ connectomics), sensory coding & more. Reach out! deanp@illinois.edu
- Reposted by deanpospisilI've wanted to write this article for years. About my and other's struggles to even survive sometime in #academia. Thank you to the amazing editors at @plosbiology.org that gave me the forum to write this piece. #science
- Reposted by deanpospisilHow do we get more neuroscience out of our behavioral data? Excited to share new work with C.A.Baker, M.Murthy and @jpillowtime.bsky.social, where we use natural behavior data to extend predictions from neural recordings about population codes for dynamic social stimuli: tinyurl.com/2d3wwfyf
- Someone please do this with a neuroscience foundation model. Start with known computations: reichardt detector in fly, inter-aural delay lines in owl, etc. @tyrellturing.bsky.social ?
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- Reposted by deanpospisilIt’s almost 2025 and the US’s green card backlog for people born in China and India was still 2022 for EB-1 and 2020 for EB-2—visa categories that represent some of the most talented individuals on the planet.
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