The brain predicts visual speech units during naturalistic audiovisual speech listening
osf.io/preprints/ps...
06.03.2026 19:26
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The brain predicts visual speech units during naturalistic audiovisual speech listening
osf.io/preprints/ps...
Dynamic coding of speech, as suggested by two new studies, challenges the idea that language features are encoded in a one-to-one manner in the brain.
By @claudia-lopez.bsky.social
#neuroskyence
www.thetransmitter.org/language/shi...
Infants have rich visual categories in ventrotemporal cortex at 2 months of age
www.nature.com/articles/s41...
Neural Dynamics of Narrative Structure-Building in Visual Stories
www.sciencedirect.com/science/arti...
Wonderful work from Patrick Elliott @qfwfq.club
Determiner as predicates
lingbuzz.net/lingbuzz/009...
𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆
Another mega paper that deserves close attention.
Lots of implications, including emergence and evolution
iopscience.iop.org/article/10.1...
#complexity
More than words: Effects of grammaticality and lexical surprisal in self-paced reading
www.sciencedirect.com/science/arti...
Delighted to be part of Michael Levin’s ongoing symposium on Platonic spaces in biology.
My lecture focused on how we can use formalized algebraic models of language to narrow the space of candidate neural mechanisms.
youtu.be/pqDnfNUlvRo?...
Special Issue of @phimisci.bsky.social on Representations in the Neurosciences and AI philosophymindscience.org/index.php/ph...
Peer review would be easier if we stopped treating it like combat with the authors. Results want to be free, and perfect is the enemy of good. Do the data support the conclusions? If so, that’s enough. A paper isn’t a blank slate for projecting your own ideas.
My group is hiring a full time research coordinator to work with our collaborators in Houston on understanding speech and language development in children with epilepsy. Great for folks looking to get direct experience with clinical/translational research. Please repost! jobs.bcm.edu/job/Research...
LLMs are an epistemic nightmare.
open.substack.com/pub/garymarc...
The methodological foundations of lesion network mapping remain sound
www.biorxiv.org/content/10.6...
Hot take: the hippocampus isn't actually "evolutionarily ancient" and its not helpful to think of it as such.
The full argument for this take is right here (but you need to scroll down to sections 5-6):
www.sciencedirect.com/science/arti...
Beautiful new work on cortical stimulation mapping moving beyond traditional binary classifications of causal functional classifications.
www.science.org/doi/10.1126/...
Rapid homotopic communication between human orbitofrontal subregions
www.cell.com/current-biol...
Some very nice conclusions from Elliot Murphy's review of my book, Wired for Words in Bioloinguistics. @elliot-murphy.bsky.social
bioling.psychopen.eu/index.php/bi...
New preprint with Léo Pio-Lopez:
www.preprints.org/manuscript/2...
"Multi-Scale Longevity: Defeating Aging from Cells to Embodied Human Minds, and the Future of the Species"
a broader view of longevity research.
Multilingual Large Language Models do not comprehend all natural languages to equal degrees
arxiv.org/abs/2602.20065
This paper on how the brain may do gradient descent is very cool: www.nature.com/articles/s41...
The scaffolding of individual variability in language processing by domain-general neural networks
www.biorxiv.org/content/10.6...
“Attractor dynamics of a whole-cortex network model…”
(Eyebrows raised)
“…predicts emergence and structure of fMRI co-activation patterns…”
(Heartbeat increases; forehead sweating intensifies)
“…in the mouse brain”
(youtu.be/DT8pRV2Vr8A)
“Attractor dynamics of a whole-cortex network model…”
(Eyebrows raised)
“…predicts emergence and structure of fMRI co-activation patterns…”
(Heartbeat increases; forehead sweating intensifies)
“…in the mouse brain”
(youtu.be/DT8pRV2Vr8A)
𝗔𝘁𝘁𝗿𝗮𝗰𝘁𝗼𝗿 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻
Looks like a very cool paper about the dynamics of large-scale networks in the mouse brain.
Starting to be all about dynamics!
journals.plos.org/ploscompbiol...
#neuroskyence
You truly haven’t gotten under my skin, I’m just curious what you expect/want from this research team? There are tons of intrinsic limitations/complexities to iEEG work, more so than in any other field of cog neuro. It’s hard work. But current evidence speaks to close similarities w/neurotypicals.
There *may* be all kinds of differences between patients with epilepsy and neurotypicals but so far our work and other labs work shows acute similarities across a broad range of perceptual and cognitive processes. Again, I don’t know what these researchers were supposed to do except add some caveats
We can consider functional differences all we like but we also have to find them. Our recent work on visual attention/category processing in ventrotemporal & frontotemporal cortex shows truly remarkable similarity in functional localization (faces, places, words, animals) btw patients&neurotypicals
What are the non-replicable findings in this paper? Which other iEEG math tasks? And if so, how exactly is this any different from the wonderful world of neurotypical fMRI research, which has been tackling multiple replicability crises for the past decade now?
And what exactly can we intracranial researchers do about it, aside from add a sentence to our Discussion sections saying “here are a few typical caveats about iEEG research”? If you don’t have productive evidence/suggestions I’m not sure what to say.
