Dissociating language and thought in large language models

K Mahowald, AA Ivanova, IA Blank, N Kanwisher… - Trends in Cognitive …, 2024 - cell.com
Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

20 years of the default mode network: A review and synthesis

V Menon - Neuron, 2023 - cell.com
The discovery of the default mode network (DMN) has revolutionized our understanding of
the workings of the human brain. Here, I review developments that led to the discovery of the …

Semantic reconstruction of continuous language from non-invasive brain recordings

J Tang, A LeBel, S Jain, AG Huth - Nature Neuroscience, 2023 - nature.com
A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-invasive …

The default mode network: where the idiosyncratic self meets the shared social world

Y Yeshurun, M Nguyen, U Hasson - Nature reviews neuroscience, 2021 - nature.com
The default mode network (DMN) is classically considered an 'intrinsic'system, specializing
in internally oriented cognitive processes such as daydreaming, reminiscing and future …

Getting aligned on representational alignment

I Sucholutsky, L Muttenthaler, A Weller, A Peng… - arxiv preprint arxiv …, 2023 - arxiv.org
Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …

Multimodal language processing in human communication

J Holler, SC Levinson - Trends in Cognitive Sciences, 2019 - cell.com
The natural ecology of human language is face-to-face interaction comprising the exchange
of a plethora of multimodal signals. Trying to understand the psycholinguistic processing of …

Measuring shared responses across subjects using intersubject correlation

SA Nastase, V Gazzola, U Hasson… - Social cognitive and …, 2019 - academic.oup.com
Our capacity to jointly represent information about the world underpins our social
experience. By leveraging one individual's brain activity to model another's, we can measure …

Discovering event structure in continuous narrative perception and memory

C Baldassano, J Chen, A Zadbood, JW Pillow… - Neuron, 2017 - cell.com
During realistic, continuous perception, humans automatically segment experiences into
discrete events. Using a novel model of cortical event dynamics, we investigate how cortical …

From word models to world models: Translating from natural language to the probabilistic language of thought

L Wong, G Grand, AK Lew, ND Goodman… - arxiv preprint arxiv …, 2023 - arxiv.org
How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …

Shared memories reveal shared structure in neural activity across individuals

J Chen, YC Leong, CJ Honey, CH Yong… - Nature …, 2017 - nature.com
Our lives revolve around sharing experiences and memories with others. When different
people recount the same events, how similar are their underlying neural representations …