Ayesha Vermani
Graduate Student in Comp Neuro/ML at Champalimaud Foundation, Lisbon.
- Reposted by Ayesha Vermani🚨Job alert🚨 The lab has up to *3 postdoc openings* for comp systems neuroscientists interested in describing and manipulating neural population dynamics mediating behaviour This is part of a collaborative ARIA grant "4D precision control of cortical dynamics" euraxess.ec.europa.eu/jobs/383909
- Reposted by Ayesha VermaniExcited to share my latest work with @jonathanamichaels.bsky.social @diedrichsenjorn.bsky.social & @andpru.bsky.social! We asked: How does the motor cortex account for arm posture when generating movement? Paper 👉 www.biorxiv.org/content/10.1... 1/10
- Reposted by Ayesha Vermani
Are similar representations in neural nets evidence of shared computation? In new theory work w/ Lukas Braun (lukasbraun.com) & @saxelab.bsky.social, we prove that representational comparisons are ill-posed in general, unless networks are efficient. @icmlconf.bsky.social @cogcompneuro.bsky.social - Reposted by Ayesha VermaniSad to miss #CCN2025. It will be the 1st conference where a PhD working w/ me will speak 😭 go see Lubna's talk (Friday) about distributed neural correlates of flexible decision making in 🐒, work done in collaboration w/ @scottbrincat.bsky.social @siegellab.bsky.social & @earlkmiller.bsky.social
- Reposted by Ayesha VermaniA common takeaway from "the bitter lesson" is we don't need to put effort into encoding inductive biases, we just need compute. Nothing could be further from the truth! Better inductive biases mean better scaling exponents, which means exponential improvements with computation.
