Pablo Marcos-Manchón
@jazzmaniatico.bsky.social
ML Engineer trying to do neuroscience
Pinned
Convergent transformations of visual representation in brains and models
A fundamental question in cognitive neuroscience is what shapes visual perception: the external world's structure or the brain's internal architecture. Although some perceptual variability can be trac...
arxiv.org
🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs?
We explore these questions using fMRI and large-scale representational alignment analyses.
🔗 arxiv.org/abs/2507.13941
Thread👇 (1/8)
We explore these questions using fMRI and large-scale representational alignment analyses.
🔗 arxiv.org/abs/2507.13941
Thread👇 (1/8)
Reposted by Pablo Marcos-Manchón
This year at #CCN25 we showed the importance of OOD evaluation to adjudicate between brain models. Our results demonstrate these trivial but key facts :
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
August 13, 2025 at 3:51 PM
This year at #CCN25 we showed the importance of OOD evaluation to adjudicate between brain models. Our results demonstrate these trivial but key facts :
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
- high encoding accuracy ≠ functional convergence
- human brain ≠ NES console ≠ 4-layers CNN
- videogames are cool
w/ @lune-bellec.bsky.social 🙌
Reposted by Pablo Marcos-Manchón
In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:
![What do representations tell us about a system? Image of a mouse with a scope showing a vector of activity patterns, and a neural network with a vector of unit activity patterns
Common analyses of neural representations: Encoding models (relating activity to task features) drawing of an arrow from a trace saying [on_____on____] to a neuron and spike train. Comparing models via neural predictivity: comparing two neural networks by their R^2 to mouse brain activity. RSA: assessing brain-brain or model-brain correspondence using representational dissimilarity matrices](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:e6ewzleebkdi2y2bxhjxoknt/bafkreiav2io2ska33o4kizf57co5bboqyyfdpnozo2gxsicrfr5l7qzjcq@jpeg)
August 5, 2025 at 2:36 PM
In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:
Reposted by Pablo Marcos-Manchón
🚨 New preprint alert!
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Low-frequency brain oscillations reflect the dynamics of the oculomotor system: a new perspective on subsequent memory effects https://www.biorxiv.org/content/10.1101/2025.07.29.667451v1
July 30, 2025 at 7:33 PM
🚨 New preprint alert!
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Reposted by Pablo Marcos-Manchón
🧠 Paper out!
We investigated how hippocampal and cortical ripples support memory during movie watching. We found that:
🎬 Hippocampal ripples mark event boundaries
🧩 Cortical ripples predict later recall
Ripples may help transform real-life experiences into lasting memories!
rdcu.be/eui9l
We investigated how hippocampal and cortical ripples support memory during movie watching. We found that:
🎬 Hippocampal ripples mark event boundaries
🧩 Cortical ripples predict later recall
Ripples may help transform real-life experiences into lasting memories!
rdcu.be/eui9l
Movie-watching evokes ripple-like activity within events and at event boundaries
Nature Communications - The neural processes involved in memory formation for realistic experiences remain poorly understood. Here, the authors found that ripple-like activity in the human...
rdcu.be
July 1, 2025 at 1:26 PM
🧠 Paper out!
We investigated how hippocampal and cortical ripples support memory during movie watching. We found that:
🎬 Hippocampal ripples mark event boundaries
🧩 Cortical ripples predict later recall
Ripples may help transform real-life experiences into lasting memories!
rdcu.be/eui9l
We investigated how hippocampal and cortical ripples support memory during movie watching. We found that:
🎬 Hippocampal ripples mark event boundaries
🧩 Cortical ripples predict later recall
Ripples may help transform real-life experiences into lasting memories!
rdcu.be/eui9l
🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs?
We explore these questions using fMRI and large-scale representational alignment analyses.
🔗 arxiv.org/abs/2507.13941
Thread👇 (1/8)
We explore these questions using fMRI and large-scale representational alignment analyses.
🔗 arxiv.org/abs/2507.13941
Thread👇 (1/8)
Convergent transformations of visual representation in brains and models
A fundamental question in cognitive neuroscience is what shapes visual perception: the external world's structure or the brain's internal architecture. Although some perceptual variability can be trac...
arxiv.org
July 25, 2025 at 3:23 PM
🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs?
We explore these questions using fMRI and large-scale representational alignment analyses.
🔗 arxiv.org/abs/2507.13941
Thread👇 (1/8)
We explore these questions using fMRI and large-scale representational alignment analyses.
🔗 arxiv.org/abs/2507.13941
Thread👇 (1/8)
Deep learning models and brains share fascinating parallels in their ability to process and instantly integrate new knowledge.
Join us this year at ICON 2025 to discuss how sudden learning emerges across artificial and biological systems! 🧠🤖
Join us this year at ICON 2025 to discuss how sudden learning emerges across artificial and biological systems! 🧠🤖
📣 ICON Symposium
Really excited to announce our symposium at @ICON this year on Sudden Learning Across Systems!
Together with lots of cool people: @gonzalezgarcia.bsky.social @lindedomingo.bsky.social @ortiztudela.bsky.social @anikaloewe.bsky.social @jazzmaniatico.bsky.social and Andrea Greve!
Really excited to announce our symposium at @ICON this year on Sudden Learning Across Systems!
Together with lots of cool people: @gonzalezgarcia.bsky.social @lindedomingo.bsky.social @ortiztudela.bsky.social @anikaloewe.bsky.social @jazzmaniatico.bsky.social and Andrea Greve!
April 23, 2025 at 12:28 PM
Deep learning models and brains share fascinating parallels in their ability to process and instantly integrate new knowledge.
Join us this year at ICON 2025 to discuss how sudden learning emerges across artificial and biological systems! 🧠🤖
Join us this year at ICON 2025 to discuss how sudden learning emerges across artificial and biological systems! 🧠🤖
Reposted by Pablo Marcos-Manchón
Very happy to announce that the latest work "Anticipating multisensory environments: Evidence for a supra-modal predictive system" from @alepebel.bsky.social @fuentemilla.bsky.social and myself has been published in Cognition!
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
Anticipating multisensory environments: Evidence for a supra-modal predictive system
Our perceptual experience is generally framed in multisensory environments abundant in predictive information. Previous research on statistical learni…
www.sciencedirect.com
October 11, 2024 at 1:31 PM
Very happy to announce that the latest work "Anticipating multisensory environments: Evidence for a supra-modal predictive system" from @alepebel.bsky.social @fuentemilla.bsky.social and myself has been published in Cognition!
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...