Mario Dipoppa
@mariodipoppa.bsky.social
Assistant Professor in Computational Neuroscience @ UCLA
dipoppalab.com
dipoppalab.com
Pinned
Mario Dipoppa
@mariodipoppa.bsky.social
· Dec 17
Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment https://www.biorxiv.org/content/10.1101/2024.12.11.628035v1
Our work on how visual adaptation changes the geometry of neural representations in V1 is now on bioRxiv:
Great opportunity in NeuroAI! 👀
Please RT - Open PhD position in my group at the Donders Center for Neuroscience, Radboud University.
We're looking for a PhD candidate interested in developing theories of learning in neural networks.
Applications are open until October 20th.
For more info: www.ru.nl/en/working-a...
We're looking for a PhD candidate interested in developing theories of learning in neural networks.
Applications are open until October 20th.
For more info: www.ru.nl/en/working-a...
PhD Position: Theory of Learning in Artificial and Biologically Inspired Neural Networks | Radboud University
Do you want to work as a PhD candidate Theory of Learning in Artificial and Biologically Inspired Neural Network? Check our vacancy!
www.ru.nl
September 22, 2025 at 9:34 PM
Great opportunity in NeuroAI! 👀
Reposted by Mario Dipoppa
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) 😃
August 8, 2025 at 10:11 AM
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) 😃
Reposted by Mario Dipoppa
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/prl/abstract...
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.
journals.aps.org
May 1, 2025 at 4:17 PM
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/prl/abstract...
Reposted by Mario Dipoppa
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)
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)
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...
www.pnas.org
April 24, 2025 at 2:15 AM
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)
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)
Reposted by Mario Dipoppa
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...
Postdoctoral Fellows in Theoretical and Computational Neuroscience
neuroscience.uchicago.edu
April 9, 2025 at 3:08 AM
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.
📣 We investigated a puzzling empirical result: adaptation induces a universal power law linking neural population responses and stimulus statistics. We explained the power law with an efficient coding model and interpreted its exponent as balancing energy saving and representation fidelity.
A universal power law optimizes energy and representation fidelity in visual adaptation
Sensory systems continuously adapt their responses based on the probability of encountering a given stimulus. In the mouse primary visual cortex (V1), the average population response is a power law of...
www.biorxiv.org
March 25, 2025 at 5:05 PM
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.
Reposted by Mario Dipoppa
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
Science Update With Anne And Alex Feb 25 2025
YouTube video by anne churchland
youtu.be
February 26, 2025 at 3:34 AM
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
Reposted by Mario Dipoppa
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/
January 31, 2025 at 2:32 PM
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/
Reposted by Mario Dipoppa
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/JPF10062
Open Rank Faculty Position in David Geffen School of Medicine at UCLA
University of California, Los Angeles is hiring. Apply now!
recruit.apo.ucla.edu
December 20, 2024 at 2:11 AM
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/JPF10062
Reposted by Mario Dipoppa
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.
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.
Saleem lab
saleemlab.com
November 27, 2024 at 5:21 PM
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.
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:
Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment https://www.biorxiv.org/content/10.1101/2024.12.11.628035v1
December 17, 2024 at 10:57 PM
Our work on how visual adaptation changes the geometry of neural representations in V1 is now on bioRxiv:
Reposted by Mario Dipoppa
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.
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
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...
bit.ly
December 17, 2024 at 1:17 PM
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.
Reposted by Mario Dipoppa
The geometry of adaptation! My first excursion in the V1 territory. Great collaboration with @mariodipoppa.bsky.social @matteocarandini.bsky.social and many others
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
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...
bit.ly
December 16, 2024 at 10:28 PM
The geometry of adaptation! My first excursion in the V1 territory. Great collaboration with @mariodipoppa.bsky.social @matteocarandini.bsky.social and many others
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
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...
bit.ly
December 16, 2024 at 8:38 PM
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!
August 19, 2023 at 4:48 PM
I’ve just joined and looking forward to connect with others from computational and systems neuroscience community and beyond!