@harryyang00814.bsky.social
Same conclusion can be drawn on the study of human language.
Better alignment =/ Better understanding of biology
Better engineering =/ Better advances of science
www.cell.com/trends/cogni...
Better alignment =/ Better understanding of biology
Better engineering =/ Better advances of science
www.cell.com/trends/cogni...
Better artificial intelligence does not mean better models of biology
Deep neural networks (DNNs) once showed increasing alignment with primate perception
as they improved on vision benchmarks, raising hopes that advances in artificial intelligence
(AI) would naturally ...
www.cell.com
January 6, 2026 at 4:22 AM
Same conclusion can be drawn on the study of human language.
Better alignment =/ Better understanding of biology
Better engineering =/ Better advances of science
www.cell.com/trends/cogni...
Better alignment =/ Better understanding of biology
Better engineering =/ Better advances of science
www.cell.com/trends/cogni...
www.biorxiv.org/content/10.6...
‘Our experiments show that the human brain comprises distinct amodal networks for various domains of linguistic and semantic knowledge, and provide a simple paradigm to dissect them within a short fMRI session.’
‘Our experiments show that the human brain comprises distinct amodal networks for various domains of linguistic and semantic knowledge, and provide a simple paradigm to dissect them within a short fMRI session.’
Languages of the brain: fMRI dissection of the amodal networks for language, mathematics, and social knowledge
The ability to compose complex mental representations by recombining simpler primitives is a characteristic of the human brain that manifests itself in a variety of domains such as spoken or written l...
www.biorxiv.org
December 30, 2025 at 1:59 AM
www.biorxiv.org/content/10.6...
‘Our experiments show that the human brain comprises distinct amodal networks for various domains of linguistic and semantic knowledge, and provide a simple paradigm to dissect them within a short fMRI session.’
‘Our experiments show that the human brain comprises distinct amodal networks for various domains of linguistic and semantic knowledge, and provide a simple paradigm to dissect them within a short fMRI session.’
What are the chances! I was working on a project at the beginning of this semester to argue against some of the major claims made by E. Gibson in his new book. And it turns out many phenomenon in Mandarin cannot be adequately explained under DG. See if we can work on this together if ur interested😄
Some very brief comments on this new book from a recent talk — dependency grammar is not a viable candidate theory of natural language syntax (1/2).
At 49 mins: youtu.be/pqDnfNUlvRo?...
At 49 mins: youtu.be/pqDnfNUlvRo?...
December 26, 2025 at 2:28 PM
What are the chances! I was working on a project at the beginning of this semester to argue against some of the major claims made by E. Gibson in his new book. And it turns out many phenomenon in Mandarin cannot be adequately explained under DG. See if we can work on this together if ur interested😄
Reposted
Some very brief comments on this new book from a recent talk — dependency grammar is not a viable candidate theory of natural language syntax (1/2).
At 49 mins: youtu.be/pqDnfNUlvRo?...
At 49 mins: youtu.be/pqDnfNUlvRo?...
December 25, 2025 at 7:29 AM
Some very brief comments on this new book from a recent talk — dependency grammar is not a viable candidate theory of natural language syntax (1/2).
At 49 mins: youtu.be/pqDnfNUlvRo?...
At 49 mins: youtu.be/pqDnfNUlvRo?...
Reposted
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?...
My lecture focused on how we can use formalized algebraic models of language to narrow the space of candidate neural mechanisms.
youtu.be/pqDnfNUlvRo?...
"Platonic Forms in the Study of Language and Mind" by Elliot Murphy
YouTube video by Michael Levin's Academic Content
youtu.be
December 16, 2025 at 7:44 PM
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?...
My lecture focused on how we can use formalized algebraic models of language to narrow the space of candidate neural mechanisms.
youtu.be/pqDnfNUlvRo?...
Reposted
New paper out today!
We provide evidence from 84,000 individuals with language deficits across 9 languages for distinct but highly common and robust structural syntactic types generated from Merge-based syntax.
🌲 🧠
arxiv.org/abs/2508.02885
We provide evidence from 84,000 individuals with language deficits across 9 languages for distinct but highly common and robust structural syntactic types generated from Merge-based syntax.
🌲 🧠
arxiv.org/abs/2508.02885
Merge-based syntax is mediated by distinct neurocognitive mechanisms: A clustering analysis of comprehension abilities in 84,000 individuals with language deficits across nine languages
In the modern language sciences, the core computational operation of syntax, 'Merge', is defined as an operation that combines two linguistic units (e.g., 'brown', 'cat') to form a categorized structu...
arxiv.org
August 6, 2025 at 1:16 AM
New paper out today!
We provide evidence from 84,000 individuals with language deficits across 9 languages for distinct but highly common and robust structural syntactic types generated from Merge-based syntax.
🌲 🧠
arxiv.org/abs/2508.02885
We provide evidence from 84,000 individuals with language deficits across 9 languages for distinct but highly common and robust structural syntactic types generated from Merge-based syntax.
🌲 🧠
arxiv.org/abs/2508.02885
Reposted
New paper out today in Cognitive Neuroscience!
Proposing an explicit, causal-mechanistic, falsifiable and empirically grounded neural code for natural language syntax, and its innate basis.
ROSE: A Universal Neural Grammar
www.tandfonline.com/doi/full/10....
Proposing an explicit, causal-mechanistic, falsifiable and empirically grounded neural code for natural language syntax, and its innate basis.
ROSE: A Universal Neural Grammar
www.tandfonline.com/doi/full/10....
ROSE: A Universal Neural Grammar
Processing natural language syntax requires a negotiation between symbolic and subsymbolic representations. Building on the recent representation, operation, structure, encoding (ROSE) neurocomputa...
www.tandfonline.com
July 14, 2025 at 5:42 PM
New paper out today in Cognitive Neuroscience!
Proposing an explicit, causal-mechanistic, falsifiable and empirically grounded neural code for natural language syntax, and its innate basis.
ROSE: A Universal Neural Grammar
www.tandfonline.com/doi/full/10....
Proposing an explicit, causal-mechanistic, falsifiable and empirically grounded neural code for natural language syntax, and its innate basis.
ROSE: A Universal Neural Grammar
www.tandfonline.com/doi/full/10....