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Very excited for the great science and seeing everyone at #CCN2024 this week! CogCompNeuro Here’s a small plug for some of our work, come say hi! Aalok Sathe आलोक साठे Jingyuan Selena She Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 Elizabeth L I.A.B Badr AlKhamissi Antoine Bosselut Martin Schrimpf Taha Binhuraib 🦉 Nick Blauch

#CCN2024 starts tomorrow! We're excited to welcome attendees to Boston. Here is a thread with some helpful know-before-you-go info for attendees.

We have created a Discord server for CCN. Chat with attendees, hear about social gatherings during the conference, as well as job postings, schedule updates, and more! discord.com/invite/am9fkVM… (try incognito mode if link doesn't work)

Excited for CogCompNeuro starting tomorrow. Jacob Prince knows where he belongs, do you?

🚨📷We are organizing the 1st NeuroAI workshop at #NeurIPS2024! 📷neuroai-workshop.github.io Submission deadline: 7th September 2024

✨🎨🏰Super excited to share our new paper Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness Inspired by biology we 1) get adversarial robustness + interpretability for free, 2) turn classifiers into generators & 3) design attacks on vLLMs 1/12

My paper on how top down predictions enable increased pattern separation and invariance in the monkey face patch system is finally out in Nature Communications rdcu.be/dRCg9 ! I was particularly impressed & amazed by the extent of flexibility even the visual cortex can exhibit!

Happy science fact of the day: It's a year since the first Imaging Neuroscience paper was published, with 280 papers since then. Hence in just the first year, over half a million dollars has stayed within academia, rather than going to Elsevier [shareholders etc].

Would you want to attend a conference where you can only talk about the weaknesses of your own research? Would you be willing to give a talk on that?

🚨New paper!🚨My first (co)first-authored paper is now out in Nature Human Behaviour! We show that neural populations in the language network differ in the size of their temporal receptive windows rdcu.be/dR0sz co-led w/ Tamar Regev 1/ 🧵

To ask how similar the brain is to a neural network we need a similarity metric. In a new paper I asked how much the metric matters to downstream conclusions, and, upshot, it matters a great deal. biorxiv.org/content/10.110… (1/7)

Happy to share that our work applying precision mapping to individuals with depression sampled longitudinally over an extended period has been published this week in @nature. Brief recap of the main findings and their potential implications below. nature.com/articles/s4158…

Attention is awesome! So we (Jordan Lei Ari Benjamin ML Group, TU Berlin Kording Lab 🦖 and #NeuroAi) built a biologically inspired model of visual attention and binding that can simultaneously learn and perform multiple attention tasks 🧠 Pre-print: doi.org/10.1101/2024.0… A 🧵...

Biggest joy and honour leading this project at the intersection of visual neuroscience and ML to a successful finish! Paper: nature.com/articles/s4158…

How can we train biophysical neuron models on data or tasks? We built Jaxley, a differentiable, GPU-based biophysics simulator, which makes this possible even when models have thousands of parameters! Led by Michael Deistler, collab with Philipp Berens Pedro J. Goncalves biorxiv.org/content/10.110…

🚨 Publication Alert! #PLOSCompBio: Cracking the neural code for word recognition in convolutional neural networks dx.plos.org/10.1371/journa… We (Stanislas Dehaene) have uncovered how convolutional neural networks recognize words, and the results are fascinating.

Exciting news🎉 We're now accepting applications for CBS-NTT postdoc fellows in the Physics of Intelligence at Harvard (rb.gy/gs7z3r) Join our vibrant interdisciplinary community at Harvard to shape this exciting emerging field together! Link below:

Ted Gibson, Language Lab MIT and I are so pleased about this: mitpress.mit.edu/cognitive-scie… Thanks to Harvard Library MIT Libraries The MIT Press @mitpress.bsky.social for making this happen!

Are visual category representations modular or distributed? In a new blog, #KempnerInstitute’s Jacob Prince, talia konkle & George Alvarez show that the answer is … both! Read the post and check out their full paper published today in Science Advances: bit.ly/3XI6fvr

Hopfield & Hinton getting the physics prize is sort of like Bob Dylan getting the literature prize: it stretches the category, maybe almost to the breaking point (but also, it's probably good for the field), but boy, do they deserve it!