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Overview
Neuroscience, vision, machine learning. Also music, food, Muay Thai. Click to read dissonances, by galen, a Substack publication with hundreds of subscribers.
News
Invariance, equivariance, and factorization
I gave a guest lecture in the Neurally Inspired Algorithms and Architectures course at UC Davis; this is my attempt at putting into blog post form.What are the challenges in visual scene understanding? There's a long list: occlusion, the presence of many
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Neuroscience as intuition
Hello, I'm back after a semester off from blogging! I have a plan for upcoming science posts, but in the meantime, my buddy Luckey invited me to submit to the Unlocked series. I'm using it as an opportunity to write a personal reflection I've been putting
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Wrapping up Neural Computation
Blasdel 1992.Although I (obviously) got very behind with blogging, I set a hard deadline for myself to wrap up by… today. We're finally done with the main topics so I'll briefly summarize some of the special topics covered in the last four weeks of lectur
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Computing in high dimensions
Kymn et al. 2024.Current machine learning relies on manipulation of high-dimensional vectors. The classic Word2vec represents a word as a vector and associates semantic similarity with distance in a vector space. Transformers in large language models (LLM
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Microwaving a Hopfield network
I had just read an article by Scott Kirkpatrick on simulated annealing, and I said, "Geoff, we could heat it up, we could heat up the Hopfield network by adding a temperature", so instead of always going downhill sometimes you pop up and with that, if you
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