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Hot off the press of the Wood Lab at IU: vision transformers are not more data hungry than newborn chicks. Artificial controlled rearing studies have often been cited as evidence by nativists. I hope they're following the tide's turn. arxiv.org/abs/2312.02843

Are semantic representations stable or plastic over time? VERY excited to share this preprint, revealing plasticity within the MTL: reps in parahippocampal cortex drift over ~8 months and are also rapidly reshaped within ~1 hour. w/ Dr. Anna Schapiro cvnlab biorxiv.org/content/10.110…

Learning by reconstruction ``easily'' provides eye-candy samples...but the learned representation's ability to solve perception tasks is often a letdown. We pinpoint that misalignement, measure it, and show how some denoising tasks (masking) sometimes help arxiv.org/abs/2402.11337

Is Cosine-Similarity of Embeddings Really About Similarity? Netflix cautions against blindly using cosine similarity as a measure of semantic similarity between learned embeddings, as it can yield arbitrary and meaningless results. 📝arxiv.org/abs/2403.05440

New paper nature.com/articles/s4146… Great work by Federico Bolaños, Javier Orlandi and our collaborators at Stanford Psychology, Akshay Jagadeesh and Justin Gardner

yearly reminder everything looks exponential from the middle of a sigmoid

"People who regularly eat processed red meat, like hot dogs, bacon, sausage, salami and bologna, have a greater risk of developing dementia later in life." nytimes.com/2024/07/31/wel…

Our new study is out today in the New England Journal of Medicine! We demonstrate a speech neuroprosthesis that decodes the attempted speech of a man with ALS into text with 97.5% accuracy, enabling him to communicate with his family, friends, and colleagues in his own home. 1/9

New study Cell Reports🥳 Using recordings & #deepnet driven image synthesis we find an intriguing difference btw🐭&🐒 visual cortex/V1 🐭: complex, non-Gabor like receptive fields 🐒: Gabor-like RFs Team effort🙌Jiakun Fu Andreas Tolias Lab @ Stanford University sinzlab & more👇 cell.com/cell-reports/f…

Why do varied DNN designs yield equally good models of human vision? Our preprint with Mick Bonner shows that diverse DNNs represent images with a shared set of latent dimensions, and these shared dimensions turn out to also be the most brain-aligned. arxiv.org/abs/2408.12804

Sounds like they’re going straight for cortical stimulation… very curious how well this will work, given everything we know about the complexities of the cortex.

The *action* space is what matters. Successful actions can tell you, compositionally, in situ insights about the system to higher and higher order. Build your models around actions - not measurements.

Is there a name for the hypothesis that task-trained neural networks and biological brains develop similar representations when they perform well, despite differences in architecture and learning methods? I.e. that optimization (whether backprop or evolution) leads to a similar

Preprint: It's been suggested that Aphants may be able to visualise, but lack insight, as they can do Mental Rotation (MR) tasks. Instead, we show MR tasks are a weak measure of the propensity to visualise. biorxiv.org/content/10.110…

Super pumped to announce that our new work “Face cells encode objects parts more than facial configuration of illusory faces” with Kasper Vinken, Akshay Jagadeesh and Marge Livingstone is now out in Nature Communications! doi.org/10.1038/s41467…

New result: The first iPSC-derived corneal stem cells (iCEPS) reverse vision loss The novelty here is that the cells were derived from iPSCs, which did not come from the patients (allogenic). Summary: A Japanese team reported yesterday that their iPSCs-derived corneal stem

New brain-computer interface preprint led by PhD student Tyler Singer-Clark! This video of a man with paralysis accurately controlling a cursor looks like something you've seen since ~2017. BUT! This is driven by multielectrode arrays in ventral (speech) motor cortex‼️ 1/

In the physical world, almost all information is transmitted through traveling waves -- why should it be any different in your neural network? Super excited to share recent work with the brilliant Mozes Jacobs: "Traveling Waves Integrate Spatial Information Through Time" 1/14

I’ve always loved how Japanese food looks so so good in anime movies. So I tried recreating some of the Indian street food in Ghibli style — and I’m absolutely loving the results 🫶