Ayesha Vermani
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ayeshavermani.bsky.social
Ayesha Vermani
@ayeshavermani.bsky.social
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
3 Postdoctoral Research Fellows
Champalimaud Foundation (Fundação D. Anna de Sommer Champalimaud e Dr.
euraxess.ec.europa.eu
November 4, 2025 at 5:11 PM
Reposted by Ayesha Vermani
Excited 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
Compositional neural dynamics during reaching
The complex mechanics of the arm make the neural control of reaching inherently posture dependent. Because previous reaching studies confound reach direction with final posture, it remains unknown how...
www.biorxiv.org
September 6, 2025 at 1:12 PM
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
August 13, 2025 at 11:31 AM
Reposted by Ayesha Vermani
Sad 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
August 10, 2025 at 3:56 PM
Reposted by Ayesha Vermani
A 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.
August 8, 2025 at 1:47 PM