Harsha Gurnani
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harshag.bsky.social
Harsha Gurnani
@harshag.bsky.social
Neural dynamics, control, learning. Love talking about the brain, math, poetry, science+arts! Striving for kindness. (She/her)
🌎 Postdoc @ NYU (Prev: UW, UCL, IISc)
🤓 https://harshagurnani.github.io/
Reposted by Harsha Gurnani
(11/11) In this new normal, costs are individually adjusted to a consumer’s maximum threshold and wages to a worker’s minimum floor.
The next time you see a price, know that it may not reflect what the item is worth—but what the algorithm believes *you* are worth.
February 11, 2026 at 8:41 PM
Oo looks super relevant for something I'm puzzling over myself, will definitely give this a read. Congrats!
February 5, 2026 at 2:01 AM
Looking forward to reading the paper! Struggled with the same mismatch for a long time. In this paper, we showed that looking at underlying dynamical subspaces is going to give us different answers than reducing dim with PCA, eg. for understanding learning variability
www.biorxiv.org/content/10.1...
Feedback control of recurrent circuits imposes dynamical constraints on learning
Neural activity has been observed to lie on low-dimensional manifolds, constraining what behaviors are easier or harder to learn. We propose that beyond this geometric constraint, learning on fast tim...
www.biorxiv.org
November 24, 2025 at 3:09 PM
Love this!
September 23, 2025 at 2:33 PM
Amazing news, congratulations!!
September 23, 2025 at 2:30 PM
*10y ago oops
September 22, 2025 at 3:10 AM
Qualifications:
PhD in CompNeuro/ML/related field.
Strong background in ML and programming
Previous research experience in RL, probabilistic ML, or statistical methods for neural data analysis.
Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment.
September 15, 2025 at 9:28 PM
Application:
To apply please email [email protected]:
- your CV
- contact details of at least 2 references
- a brief (one page maximum) description of why are you interested in the position and how your expertise fits the call.

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September 15, 2025 at 9:28 PM
🤣😭
September 10, 2025 at 7:25 PM
as an aside, arealization does not need to imply modules in a feedforward chain; in fact these studies very much reconcile recurrent computation with dissociable contributons.
September 4, 2025 at 9:24 PM
A recent example from the Inagaki lab: www.biorxiv.org/content/10.1... and a couple of classics from Brody lab: elifesciences.org/articles/34929 and elifesciences.org/articles/05457 use perturbations to show discriminable roles despite similar representations.
Integrator dynamics in the cortico-basal ganglia loop underlie flexible motor timing
Flexible control of motor timing is crucial for behavior. Before volitional movement begins, the frontal cortex and striatum exhibit ramping spiking activity, with variable ramp slopes anticipating mo...
www.biorxiv.org
September 4, 2025 at 9:24 PM