Mario Dipoppa

Great opportunity in NeuroAI! 👀

Dario Ringach gave a really interesting talk at the National University of Singapore today about results with Elaine Tring and @mariodipoppa.bsky.social adaptation of population responses in mouse visual cortex. Remarkably data was well described by log(r(x)/r(y) ~ log(p(y)/p(x) 😃

Congratulations, Matteo! 👏

Statistical Mechanics of Transfer Learning in Fully Connected Networks in the Proportional Limit Tools from spin glass theory such as the replica method help explain the efficacy of transfer learning.

Our paper on the statistical mechanics of transfer learning is now published in PRL. Franz-Parisi meets Kernel Renormalization in this nice collaboration with friends in Bologna (F. Gerace) and Parma (P. Rodondo, R. Pacelli).
journals.aps.org/prl/abstract...

The tilt illusion arises from an efficient reallocation of neural coding resources at the contextual boundary | PNAS The tilt illusion—a bias in the perceived orientation of a center stimulus induced by an oriented surround—illustrates how context shapes visual pe...

Very happy to see our work finally in print!
www.pnas.org/doi/10.1073/...

TLDR: Tilt illusion is not a bug, but a feature of a well-designed visual system that maximizes information capacity adaptively based on spatial context. (1/6)

Congratulations and thank you for the mention! We really enjoyed your paper!

Postdoctoral Fellows in Theoretical and Computational Neuroscience

The Grossman Center at UChicago is hiring Center Postdocs! Great scientific environment in a great city. Competitive salaries and freedom to work with any of the center PIs. The deadline is May 1st. DM me if you have any questions. neuroscience.uchicago.edu/grossmancent...

In previous work with Dario Ringach (Tring et al. 2023), we discovered a universal power law of visual adaptation. With @matteomariani.bsky.social, we now show with a computational model that this power law can be explained by efficient coding! We will present this at #Cosyne2025, Thu. poster 1-031.

YouTube video by anne churchland Science Update With Anne And Alex Feb 25 2025

I’ve been overwhelmed trying to keep up with everything that’s happening at the NIH. I wondered if others were likewise overwhelmed so I am going to start regularly posting videos with what I know. Pls feel free to leave suggestions and comments. youtu.be/MvgNHWSJtH0

Picture of neural manifolds for the two choices in a decision-making task, depicted in 3D and in 2D

New preprint: "The geometry of the neural state space of decisions", work by Mauro Monsalve-Mercado, buff.ly/42wVHD5. Surprising results & predictions! (Thread) We analyze neuropixel population recordings in macaque area LIP during a reaction time, random-dot motion 1/

Open Rank Faculty Position in David Geffen School of Medicine at UCLA University of California, Los Angeles is hiring. Apply now!

Please retweet! Open rank faculty search in the basic sciences at UCLA David School of Medicine. Multiple positions are available - the application deadline is 19th January. Please apply here:

recruit.apo.ucla.edu/JPF10062

Saleem lab

New job alert!
My lab (saleemlab.com) has a new postdoc / senior postdoc opening. They will be part of an exciting research supported by ERC & UKRI, studying vision during navigation. Projects range from purely computational to performing new physiological recordings.

Our work on how visual adaptation changes the geometry of neural representations in V1 is now on bioRxiv:

Hello world, my first post in Bluesky! Adaptation to a frequent stimulus reduces neuronal activity but increases discriminability in V1. These two effects can be observed as well in the geometry of representations and they are reproduced in an ANN with metabolic constraints.

The geometry of adaptation! My first excursion in the V1 territory. Great collaboration with @mariodipoppa.bsky.social @matteocarandini.bsky.social and many others

Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment Sensory adaptation dynamically changes neural responses as a function of previous stimuli, profoundly impacting perception. The response changes induced by adaptation have been characterized in detail...

New results! Visual adaptation changes the geometry of V1 population activity: frequent stimuli elicit smaller responses but become more discriminable. Similar results are seen in ANNs trained with metabolic constraints, suggesting these changes emerge from efficient coding. bit.ly/3VJHXRn

I’ve just joined and looking forward to connect with others from computational and systems neuroscience community and beyond!