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Mario Dipoppa

@mariodipoppa.bsky.social
491 followers 390 following 9 posts

Assistant Professor in Computational Neuroscience @ UCLA dipoppalab.com

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Reposted by Mario Dipoppa
UCLA Neuroscience Theme @uclaneurotheme.bsky.social · 02/09/2026
UCLA's Department of Neurobiology is hiring faculty at any career stage, from first labs to established leaders, working across genetics, circuits, computation & behavior. Know a brilliant, curious neuroscientist? Send them our way & repost! recruit.apo.ucla.edu/JPF11296 #professorjobs #neuroscience
recruit.apo.ucla.edu
Open-rank tenure-track faculty position
University of California, Los Angeles is hiring. Apply now!
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Reposted by Mario Dipoppa
UCLA Neuroscience Theme @uclaneurotheme.bsky.social · 29/06/2026
UCLA's computational neuroscience community is growing! @marcustriplett.bsky.social is joining @dgsomucla.bsky.social Dept of Neurobiology, bringing expertise in statistical machine learning methods for neuroscience & computation in artificial & biological neural systems. Welcome to UCLA, Marcus!
Photo of Marcus Triplett
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UCLA Neuroscience Theme @uclaneurotheme.bsky.social · 11/06/2026
Brain-computer interfaces are becoming reality for folks w/ paralysis. Jonathan Kao's lab at UCLA pairs AI copilots with brain signals decoded from scalp electrodes (no surgery required) to help users control cursors & robotic arms. Read more: t.co/exztsLljTn
Scientific diagram comparing a Traditional Brain-Computer Interface (BCI) with an AI-BCI system used to assist individuals with paralysis.
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UCLA Neuroscience Theme @uclaneurotheme.bsky.social · 10/06/2026
When you see a face repeatedly, your brain gets better at recognizing it even though individual neurons respond less. Mario Dipoppa's lab used neural recordings + artificial neural networks to discover why. Read more: biorxiv.org/content/10.1101/2025.03.20.643406v2.full
Neural adaptation reshapes how visual cortex populations represent stimuli to improve discrimination of frequently seen images while minimizing energy cost. The figure demonstrates that adaptation follows mathematical principles balancing perceptual accuracy against metabolic efficiency, revealing how brains solve the fundamental problem of representing a changing world with limited resources.
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Mario Dipoppa @mariodipoppa.bsky.social · 06/04/2026
Welcome to UCLA Marcus! 🎉 We are thrilled Marcus is joining our neuroscience and computational community. I encourage students and postdocs to check out the exciting opportunities in his lab.
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Rainer Engelken @rainerengelken.bsky.social · 14/03/2026
We are recruiting PhD students and postdocs at UIUC ECE interested in learning dynamics, spiking networks, and dynamical systems. Details: rainerengelken.github.io/join/
rainerengelken.github.io
Rainer Engelken | Join the Lab
Uncovering theoretical principles of learning and computation in neural circuits, from single neurons to brain-wide systems.
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Ramon Nogueira @rnogueiraneuro.bsky.social · 16/01/2026
We are very excited to announce that our new preprint with Saleh Esteki, @stefanofusi.bsky.social, and @roozbehkiani.bsky.social is now available on biorxiv! www.biorxiv.org/content/10.6.... We investigated how reward context is learned, represented, and updated to bias decisions. Thread 🧵👇! 1/13
biorxiv.org
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Mario Dipoppa @mariodipoppa.bsky.social · 22/09/2025
Great opportunity in NeuroAI! 👀
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Andrew Tan @andrewtanyongyi.bsky.social · 08/08/2025
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) 😃
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Alessandro Ingrosso @aingrosso.bsky.social · 01/05/2025
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...
journals.aps.org
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.
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Reposted by Mario Dipoppa
Ling-Qi Zhang @lingqiz.bsky.social · 24/04/2025
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)
pnas.org
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...
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Ramon Nogueira @rnogueiraneuro.bsky.social · 09/04/2025
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...
neuroscience.uchicago.edu
Postdoctoral Fellows in Theoretical and Computational Neuroscience
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Mario Dipoppa @mariodipoppa.bsky.social · 25/03/2025
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.
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annechurchland.bsky.social @annechurchland.bsky.social · 26/02/2025
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
youtu.be
Science Update With Anne And Alex Feb 25 2025
YouTube video by anne churchland
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Ken Miller @kenmiller.bsky.social · 31/01/2025
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/
Picture of neural manifolds for the two choices in a decision-making task, depicted in 3D and in 2D
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Samantha Butler @samanthabutler.bsky.social · 20/12/2024
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
recruit.apo.ucla.edu
Open Rank Faculty Position in David Geffen School of Medicine at UCLA
University of California, Los Angeles is hiring. Apply now!
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Reposted by Mario Dipoppa
Aman Saleem @amansaleem.bsky.social · 27/11/2024
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.
saleemlab.com
Saleem lab
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Mario Dipoppa @mariodipoppa.bsky.social · 17/12/2024
Our work on how visual adaptation changes the geometry of neural representations in V1 is now on bioRxiv:
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Ramon Nogueira @rnogueiraneuro.bsky.social · 17/12/2024
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.
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stefanofusi.bsky.social @stefanofusi.bsky.social · 16/12/2024
The geometry of adaptation! My first excursion in the V1 territory. Great collaboration with @mariodipoppa.bsky.social @matteocarandini.bsky.social and many others
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Mario Dipoppa @mariodipoppa.bsky.social · 16/12/2024
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
bit.ly
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...
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Mario Dipoppa @mariodipoppa.bsky.social · 19/08/2023
I’ve just joined and looking forward to connect with others from computational and systems neuroscience community and beyond!
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