Laetitia Grabot
@lgrabot.bsky.social
Cognitive neuroscientist - I'm doing science and I'm still alive
** brain oscillations, perceptual bias, time perception **
** brain oscillations, perceptual bias, time perception **
@sfnjournals.bsky.social Work done at @upcite.bsky.social @cnrsbiologie.bsky.social supported by @erc.europa.eu
July 25, 2025 at 1:05 PM
@sfnjournals.bsky.social Work done at @upcite.bsky.social @cnrsbiologie.bsky.social supported by @erc.europa.eu
We hope this open-source framework will be useful for anyone interested in testing hypotheses about the role of traveling waves in cognition. Code and data available-check it out! ➡️ zenodo.org/records/1396...
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Generative model of traveling waves within retinotopic areas using MEG-EEG [Data and scripts]
Traveling Waves in the Human Visual Cortex: an MEG-EEG Model-Based Approach This repository contains data and scripts related to the publication:Traveling Waves in the Human Visual Cortex: an MEG-EEG ...
zenodo.org
April 20, 2025 at 6:26 PM
We hope this open-source framework will be useful for anyone interested in testing hypotheses about the role of traveling waves in cognition. Code and data available-check it out! ➡️ zenodo.org/records/1396...
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Our model is specific to conditions (directions of traveling waves, standing waves) and wave parameters (temporal and spatial frequencies).
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April 20, 2025 at 6:26 PM
Our model is specific to conditions (directions of traveling waves, standing waves) and wave parameters (temporal and spatial frequencies).
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👀Worth noting:
Simulating waves in just V1 had an effect on all sensors—even the ones far away. This shows how localized TWs can create widespread patterns in MEG/EEG.
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Simulating waves in just V1 had an effect on all sensors—even the ones far away. This shows how localized TWs can create widespread patterns in MEG/EEG.
/5
April 20, 2025 at 6:26 PM
👀Worth noting:
Simulating waves in just V1 had an effect on all sensors—even the ones far away. This shows how localized TWs can create widespread patterns in MEG/EEG.
/5
Simulating waves in just V1 had an effect on all sensors—even the ones far away. This shows how localized TWs can create widespread patterns in MEG/EEG.
/5
🔍Proof of concept:
We used visual stimuli carefully designed to elicit traveling waves in V1. Participants viewed these while we recorded simultaneous MEG/EEG, giving us a ground-truth dataset for detecting traveling waves.
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We used visual stimuli carefully designed to elicit traveling waves in V1. Participants viewed these while we recorded simultaneous MEG/EEG, giving us a ground-truth dataset for detecting traveling waves.
/4
April 20, 2025 at 6:26 PM
🔍Proof of concept:
We used visual stimuli carefully designed to elicit traveling waves in V1. Participants viewed these while we recorded simultaneous MEG/EEG, giving us a ground-truth dataset for detecting traveling waves.
/4
We used visual stimuli carefully designed to elicit traveling waves in V1. Participants viewed these while we recorded simultaneous MEG/EEG, giving us a ground-truth dataset for detecting traveling waves.
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💡Our solution:
Using an encoding model, we simulate traveling waves in V1 → project them into sensor space → generate predicted MEG/EEG signals.
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Using an encoding model, we simulate traveling waves in V1 → project them into sensor space → generate predicted MEG/EEG signals.
/3
April 20, 2025 at 6:26 PM
💡Our solution:
Using an encoding model, we simulate traveling waves in V1 → project them into sensor space → generate predicted MEG/EEG signals.
/3
Using an encoding model, we simulate traveling waves in V1 → project them into sensor space → generate predicted MEG/EEG signals.
/3
🛠️The challenge:
Traveling waves (TWs) are everywhere in brain recordings... But they're almost always studied with invasive methods at the mesoscopic scale — within regions like V1. Why? MEG/EEG's coarse spatial resolution makes TWs hard to detect.
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Traveling waves (TWs) are everywhere in brain recordings... But they're almost always studied with invasive methods at the mesoscopic scale — within regions like V1. Why? MEG/EEG's coarse spatial resolution makes TWs hard to detect.
/2
April 20, 2025 at 6:26 PM
🛠️The challenge:
Traveling waves (TWs) are everywhere in brain recordings... But they're almost always studied with invasive methods at the mesoscopic scale — within regions like V1. Why? MEG/EEG's coarse spatial resolution makes TWs hard to detect.
/2
Traveling waves (TWs) are everywhere in brain recordings... But they're almost always studied with invasive methods at the mesoscopic scale — within regions like V1. Why? MEG/EEG's coarse spatial resolution makes TWs hard to detect.
/2
March 21, 2025 at 12:57 PM
🎓Bringing greater diversity could create a different academic system, one that would spark vocations, enable a better work-life balance, and foster supportive mentoring... which would benefit the whole community! More info ➡️https://www.jneurosci.org/content/42/24/4769.abstract
February 11, 2025 at 3:03 PM
🎓Bringing greater diversity could create a different academic system, one that would spark vocations, enable a better work-life balance, and foster supportive mentoring... which would benefit the whole community! More info ➡️https://www.jneurosci.org/content/42/24/4769.abstract
The problem? Race, socio-economic status, and gender all contribute to individual differences in brain structure and cognition. This means we could be missing a significant part of the story... More info ➡️https://nyaspubs.onlinelibrary.wiley.com/doi/abs/10.1111/nyas.14268
February 11, 2025 at 3:03 PM
The problem? Race, socio-economic status, and gender all contribute to individual differences in brain structure and cognition. This means we could be missing a significant part of the story... More info ➡️https://nyaspubs.onlinelibrary.wiley.com/doi/abs/10.1111/nyas.14268
🧠Cognitive neuroscience aims to understand how the brain thinks and functions, yet much of our knowledge comes from studies conducted on a highly biased population—primarily healthy, young, white men.
February 11, 2025 at 3:03 PM
🧠Cognitive neuroscience aims to understand how the brain thinks and functions, yet much of our knowledge comes from studies conducted on a highly biased population—primarily healthy, young, white men.
The simple answer is that it would increase diversity! But beyond the social and ethical aspects, does it actually impact scientific research? In my field—cognitive neuroscience—the answer is definitely yes! It influences both how research is conducted and the research itself.
February 11, 2025 at 3:03 PM
The simple answer is that it would increase diversity! But beyond the social and ethical aspects, does it actually impact scientific research? In my field—cognitive neuroscience—the answer is definitely yes! It influences both how research is conducted and the research itself.