Patxi Elosegi

@patxelos.bsky.social

Postdoc at Yale | PhD in Cog Neuro (BCBL) | Interested in visual representations in natural & artificial neural networks, consciousness, & metacognition

new preprint! 🥳 we investigated the encoding of syntax and probability in cortical activity recorded with ECoG 🧠, and, it turns out: high-frequency cortical activity represents both features - side-by-side 🙌, and in interaction 🤝. www.biorxiv.org/content/10.6... (thread to follow soon)

An image depicting the left hemisphere of the fsaverage brain three times; the top row shows the lateral view (three times), the bottom-row shows their medial view (three times). The left-most projection displays the 106 electrodes that encode syntactic information. The electrodes are widely distributed across the left hemisphere, with clusters in the anterior temporal lobe and the posterior temporal lobe/temporo-parietal junction, but also in the prefrontal cortex. The middle projection displays the 185 electrodes that encode lexical probabilistic information. There is a cluster of electrodes along the length of the superior temporal gyrus, and one in the inferior frontal gyrus. There are also electrodes in other areas of the cortex. The rightmost projection shows the 124 electrodes that encode both features. There are clusters in the superior- and middle temporal gyri, and also in the inferior frontal gyrus. There are also electrodes in other areas of the cortex.
bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2w ago

Linguistic structure and probability are jointly encoded in high gamma power https://www.biorxiv.org/content/10.64898/2026.07.21.739808v1

PREPRINT: We efficiently extract a set’s mean and variance without representing each item. Yet the neural basis remains unclear. Using fMRI-MVPA, we test whether ensemble codes are shared across features—orientation, shape, & animacy—and statistics—mean & variance www.biorxiv.org/content/10.6...

Neural Representations of Ensemble Mean and Variance Across Visual Features

Humans can rapidly extract summary statistics, such as the mean and variance of visual features, to efficiently represent complex visual environments despite limits in attention and working memory. Al...

biorxiv.org

NEW PAPER🚨👀 in Science Advances with a wonderful transatlantic team. (incl @sylvainbaillet.bsky.social @olejensen.bsky.social @katduecker.bsky.social) Using human MEG, we found lower-order and higher-order neural processes that underlie illusory transitions in conscious visual perception. 🧵👇

Hierarchical brain dynamics supporting visual perceptual transitions

Illusory transitions in conscious visual perception involve both early visual cortex and higher-order motor cortices.

science.org

Our #sEEG study is now published in Nature Communications: rdcu.be/eIkoG! 🧠 Key finding: We discovered neural evidence accumulation for visual perception that's independent of report preparation—recorded from >3000 channels across 3 experiments! #Neuroscience #Consciousness #OpenAccess

Cortical evidence accumulation for visual perception occurs irrespective of reports

Nature Communications - Perception can occur in the absence of report. Here, the authors use intracranial recordings to show that sequential sampling of sensory evidence in the ventral visual...

rdcu.be

François Stockart@francoisstock.bsky.social · 2y ago

Our new sEEG study is out on BioRxiv: tinyurl.com/4afh3b9n! Using 3 face detection experiments and recording from >3000 channels, we found a neural code that reflected evidence accumulation for conscious perception and perceptual confidence! 👇

1/Preprint Alert🔔: Across two experiments plus a computational model, we show the visual system compresses complex scenes into summary statistics that can guide behavior without conscious access to the task-defining features. We term this the Ensemble Blindsight effect.