Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

Revisiting the high-dimensional geometry of population responses in visual cortex biorxiv.org/cgi/content/sh… #biorxiv_neursci

New paper in Cell w/ Caroline I Jahn on how the brain learns to control attention in a changing environment! Attention is learned incrementally from reward, and it maps stimuli into a generalized value space to guide decisions in many settings. 🧵cell.com/cell/fulltext/…

We have multiple postdoc positions!! Send me an email or come meet me after my talk

New pre-print: ‘Revisiting the high-dimensional geometry of population responses in visual cortex’ biorxiv.org/content/10.110… with julie pillow. [1/8]

Postdoc opening in computational neuroscience: Come join us at Yale in Physics, the QBio Institute Yale QBio , and the Wu Tsai Institute Wu Tsai Institute | Yale University! Lab details: lynnlab.yale.edu If you’re at APS March Meeting @APSMeetings come find me!

🔥New paper by Lagzi and Adrienne Fairhall examines feature sensitivity and structural bias in inhibitory neurons which can emerge as a network, but not a single cell phenomenon, mediated by randomness, correlations, and homeostatic plasticity. (1of2)

Brain mechanism of foraging: Reward-dependent synaptic plasticity versus neural integration of values. pnas.org/doi/10.1073/pn…. We are now at AIND testing these ideas using neural recordings, perturbation experiments, NM imaging during foraging, and team science!

🕊️🎁Our new paper is out with @selmaanchettih , Steph Hale, and Dmitriy Aronov!! Appreciate the people, the birds, and the neuroethology path. Access link (open until May 18): authors.elsevier.com/c/1ir1ML7PXqQ4q🎁🕊️

Our review on the computational foundations of dynamic coding is out now in TICS: doi.org/10.1016/j.tics… We review dynamic coding in neural recordings, classical working memory models, and task-optimized networks.

Happy to share a new preprint - the culmination of the past three years of postdoc with Blake Richards and Adrien Peyrache 🪐😴⚡️, and my first real foray into #NeuroAI as a tool to study the sleeping brain: biorxiv.org/content/10.110… (1/🧵) c’est parti!

We're hiring a research technician! Great research opportunity before applying to neuroscience or related PhDs. We study auditory processing in flies and this position will learn calcium imaging + analysis. Join us! jobs.ncsu.edu/postings/201685 christabakerlab.com

In 2019 I went to Cambridge to debate Máté Lengyel on the usefulness of Marr's Three Levels of Analysis. We've finally published a pair of "CrossTalk" articles in Journal of Physiology laying out our positions. My piece: onlinelibrary.wiley.com/share/author/Y… #MarrNoMore #DownWithThe3Levels

I’m giving an online talk at the VVTNS today at 11 ET! Past and future of reshuffling: Work with Ken Miller Alessandro Sanzeni, twitterless Tuan Nguyen and Nicolas Brunel. Join us here: u-paris.zoom.us/j/87296214746?…

Retinal waves are known to instruct neural circuit refinement in development. But can they also help train ANNs to better process real-world visual stimuli? YES! Check out the brilliant work of Lilly May biorxiv.org/content/10.110…

A simple mathematical model perfectly captures the shape and statistics of hippocampal place fields in mouse, rat, and bat, in one, two, and three dimensions. With निश्चल and Yoram Burak. biorxiv.org/content/10.110…

On Reddit's statistics forum, the most common question is "What test should I use?" My answer, from 2011, is "There is only one test" allendowney.blogspot.com/2011/05/there-…