Brain-imaging evidence for compression of binary sound sequences in human memory
According to the language-of-thought hypothesis, regular sequences are compressed in
human memory using recursive loops akin to a mental program that predicts future items …
human memory using recursive loops akin to a mental program that predicts future items …
[PDF][PDF] Intraoperative cortical localization of music and language reveals signatures of structural complexity in posterior temporal cortex
Language and music involve the productive combination of basic units into structures. It
remains unclear whether brain regions sensitive to linguistic and musical structure are co …
remains unclear whether brain regions sensitive to linguistic and musical structure are co …
ROSE: A neurocomputational architecture for syntax
E Murphy - Journal of Neurolinguistics, 2024 - Elsevier
A comprehensive neural model of language must accommodate four components:
representations, operations, structures and encoding. Recent intracranial research has …
representations, operations, structures and encoding. Recent intracranial research has …
Transitions in cognitive evolution
The evolutionary history of animal cognition appears to involve a few major transitions:
major changes that opened up new phylogenetic possibilities for cognition. Here, we review …
major changes that opened up new phylogenetic possibilities for cognition. Here, we review …
Could theropod dinosaurs have evolved to a human level of intelligence?
A Reiner - Journal of Comparative Neurology, 2023 - Wiley Online Library
Noting that some theropod dinosaurs had large brains, large grasping hands, and likely
binocular vision, paleontologist Dale Russell suggested that a branch of these dinosaurs …
binocular vision, paleontologist Dale Russell suggested that a branch of these dinosaurs …
Local search and the evolution of world models
An open question regarding how people develop their models of the world is how new
candidates are generated for consideration out of infinitely many possibilities. We discuss …
candidates are generated for consideration out of infinitely many possibilities. We discuss …
Machine learning and information theory concepts towards an AI Mathematician
The current state of the art in artificial intelligence is impressive, especially in terms of
mastery of language, but not so much in terms of mathematical reasoning. What could be …
mastery of language, but not so much in terms of mathematical reasoning. What could be …
Principles of universal conceptual modeling
The paper proposes a new frontier for conceptual modeling–universal conceptual modeling
(UCM)–defined as conceptual modeling that is general-purpose and accessible to anyone …
(UCM)–defined as conceptual modeling that is general-purpose and accessible to anyone …
Compositional diversity in visual concept learning
Humans leverage compositionality to efficiently learn new concepts, understanding how
familiar parts can combine together to form novel objects. In contrast, popular computer …
familiar parts can combine together to form novel objects. In contrast, popular computer …
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
J Russin, SW McGrath, DJ Williams… - arXiv preprint arXiv …, 2024 - arxiv.org
Compositionality has long been considered a key explanatory property underlying human
intelligence: arbitrary concepts can be composed into novel complex combinations …
intelligence: arbitrary concepts can be composed into novel complex combinations …