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A study published in Nature shows how satellite data can shed light on the mass migration of marine animals between the oceans' surface and depth. go.nature.com/2DO6RHn

Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning dlvr.it/RLP0LY v/ @NatureNews

3 HOURS #Worlds2020

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My PhD student has reported that all writing by ChatGPT is improved by adding "Don't use adjectives." at the end of the prompt. We are soliciting feedback on this prompting strategy.

Out today in Neuron 🥳 doi.org/10.1016/j.neur… ⚖️ Is there a computational trade-off between memory and abstraction? 📐 How does the geometry of the neural code control this trade-off? 🧠 What are its implications on social memory and familiarity? Check out the paper and 🧵👇

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/…

arxiv.org/pdf/2406.02507 — a  new (unusually simple and short) paper by Karras et al. with a kinda crazy idea for a much better diffusion guidance technique. It is similar to CFG, but instead of an unconditional model, they use a smaller version of the base diffusion itself (i.e.,

been learning a lot about LLMs etc over the past year, organized some of my favorite explainers into a “textbook-shaped” resource guide wish i’d had this at the start, maybe it can useful to others on a similar journey genai-handbook.github.io

#Dopamine reward prediction error neurons encode experienced rewards efficiently, which explains major aspects of the neural population. This efficient code can be learned with local updates for each neuron. Heiko Schütt Dongjae Kim Wei Ji Ma nature.com/articles/s4159…