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🤩 + impressive answer 🧭🚕 @ 2:50 “Trust me, knowledge is power” 💀 This is my guy.
Human multipatch L2/3 functional cell types. LFG. 🧠📈🧪
6mo
Tolerance has gone too far. Researchers should date other people, in my opinion
A very personal story that I have kept to myself for four months posts tomorrow morning to HateComesToMainStreet.com. Subscribe now to get immediately notified.
Bichan Wu (@bichanw.bsky.social) & I wrote a tutorial paper on Reduced Rank Regression (RRR) — the statistical method underlying "communication subspaces" from Semedo et al 2019 — aimed at neuroscientists. arxiv.org/abs/2512.12467
let's talk in person! but fwiw I personally think that we talk about dimensionality! to me the important ideas within the neural manifold framework are: (1) manifolds reflect biological constraints, (2) capture population-wide functions/computations, (3) manifolds (may) have ontological power
6mo
Good resp to Bhattacharya, noting the agenda of The Spectator. When we rebut Trump attacks on science it’s good to talk about his agenda and the agenda backing him—he was selected for the job by donors who want to privatize federal funding and use science as a wedge issue to get votes for thr side.
Here is a brief overview of existing approaches to studying "real-world" navigation. Really happy to have worked on this with @hugospiers.bsky.social & @antoinecoutrot.bsky.social! arxiv.org/pdf/2603.11347
Landmark paper from @srheilbronner.bsky.social and colleagues! www.cell.com/trends/neuro...
6mo
www.science.org/doi/10.1126/... damn this is so very clever! "... we investigated how the brain categorizes stimuli that are not linearly separable in the physical world ... The sensory manifold was ... expanded into a seven-dimensional perceptual manifold..."
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Kari Hoffman
Reduced rank regression (RRR) is a statistical method for finding a low-dimensional linear mapping between a set of high-dimensional inputs and outputs. In recent years, RRR has found numerous applica...
arxiv.org
Reduced rank regression for neural communication: a tutorial for neuroscientists
Kari Hoffman
Phil Williams
Jonathan Pillow