Jeff Johnston
Postdoc in the Center for Theoretical Neuroscience at Columbia, previously at the University of Chicago
he/they
wj2.github.io
- When and why do modular representations emerge in neural networks? @stefanofusi.bsky.social and I posted a preprint answering this question last year, and now it has been extensively revised, refocused, and generalized. Read more here: doi.org/10.1101/2024... (1/7)
- The core result is still the same: Whether or not modularity emerges depends on both the format – or, representational geometry – of the input to the network and the structure of the task it is trained to perform. (2/7)
- How does the brain represent multiple different things at once in a single population of neurons? @justfineneuro.bsky.social, @benhayden.bsky.social, B Ebitz, M Yoo, and I show that it uses semi-orthogonal subspaces for each item. Preprint here: arxiv.org/abs/2309.07766 Clouds below! (1/n)
