Two exciting opportunities to join the lab of Adam Kepecs, PhD Kepecs Lab! His group is looking for clinical research coordinators to help establish a new computational psychiatry program. Please spread the word! neuroscience.wustl.edu/opportunities/…

𝐀𝐏𝐏𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 𝐃𝐄𝐀𝐃𝐋𝐈𝐍𝐄 𝐀𝐏𝐑 𝟏𝟏! 𝘽𝙧𝙖𝙞𝙣𝙨, 𝙈𝙞𝙣𝙙𝙨 𝙖𝙣𝙙 𝙈𝙖𝙘𝙝𝙞𝙣𝙚𝙨 𝙎𝙪𝙢𝙢𝙚𝙧 𝘾𝙤𝙪𝙧𝙨𝙚 2022 Aug 4-25 @ MBL Woods Hole, MA Intensive 3-week course for adv students, "deep end" into to the problem of intelligence. cbmm.mit.edu/summer-school/…

Proud of Binxu Wang 🐱's latest work exploring the best optimizers for neuronal population control. This was his first rotation project in my lab, and it boosted every line of investigation that followed. Keep your eye on this rising star!

Love this project, led by Alex Bardon and Will Xiao, showing how naïve subjects perceive neuron-guided synthetic images

We have just launched our SENSORIUM competition to find the best model of mouse primary visual cortex! 🥳 Have a look at out white paper on #arxiv where we describe the data and the competition tracks in detail: arxiv.org/abs/2206.08666. #NeurIPS2022 Competition track.

[video] CBMM researchers Xiao and Kreiman discuss their latest work in PNAS, "Face neurons encode nonsemantic features", their results suggest that so-called "face neurons" are better described as tuned to visual features rather than semantic categories. cbmm.mit.edu/video/face-neu…

New preprint! “Activity in primate visual cortex is minimally driven by spontaneous movements”, biorxiv.org/cgi/content/sh…, by amazing team led by @BharathTalluri & Incheol Kang, with Adam Lazere, Nick Kaliss, @mightyrosequinn, & wonderful collaborators @jcbyts & Dan Butts. 1/8

Check out Binxu Wang 🐱's application of level sets to neuronal tuning in V1, V4, and inferotemporal cortex #NeurIPS2022

New position: 📢 Kempner Institute Fellows, loosely modeled around Harvard "Society of Fellows", a 3-year fellowship with attractive terms for people in AI / ML / Neuroscience / related fields. academicpositions.harvard.edu/postings/11860

In our lab, monkey cortex neurons guide generative networks into creating synthetic images. These images often include object parts recognizable by humans and convolutional networks. But can monkeys recognize them too? Our latest study aims to find out: pnas.org/eprint/MXHAZJK…

There is much discussion about capabilities of GPT models. But how accurate are such models as models of language processing in the 🧠? Here, we demonstrate that GPT is accurate enough to noninvasively drive and suppress 🧠activity in the language network of new individuals. 1/

Beyond excited for this new stage of Binxu Wang 🐱 's career!

Congratulations, Doctor Binxu Wang 🐱 !

Excited to share new work spearheaded by my friend and colleague, Will Xiao, out in Nature Neuroscience! Ventral visual neurons show eye-centered retinotopic responses, with no predictive remapping or viewing-history integration. hms.harvard.edu/news/clue-how-… nature.com/articles/s4159…

Harvard Neurobiology seeks a Computational Specialist for machine learning projects in neuroscience. Collaborate with leading researchers! Apply now: [NEI Vision Core](neuro.hms.harvard.edu/resources/rese…) #Neuroscience #MachineLearning #HarvardHMS #BostonJobs

Could visually responsive neurons in prefrontal cortex help represent the world? Our paper uses closed-loop image generation to reveal stable but surprisingly low-level visual features—a surprise given its role in complex cognition. Explore more: rdcu.be/dUJZM

Interested in natural visual perception? Add NANO54 (tinyurl.com/yn2p4d6p) to your SfN 2024 meeting itinerary! We have a spectacular lineup of speakers covering visual systems in silico, in animals, and in humans. sfn #sfn2024

I'll present a piece of work with Carlos R. Ponce in NANO54 8:30 am Oct.9th at #sfn2024! As we know, DNN-based regression models can predict neural activities well, but do they care about the same features as neurons do? Using feature attribution method, we found common dimension

Looks like a great conference! sites.google.com/view/foragingc…

Big thanks to Victoria Zhanqi Zhang, Till Hartmann, Marge, and Rick for bringing this study to life. We continue to enjoy applying unsupervised discovery methods from machine learning to the monkey brain