Dissociating language and thought in large language models
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 …
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 …
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
A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-invasive …
would have many scientific and practical applications. Currently, however, non-invasive …
The default mode network: where the idiosyncratic self meets the shared social world
The default mode network (DMN) is classically considered an 'intrinsic'system, specializing
in internally oriented cognitive processes such as daydreaming, reminiscing and future …
in internally oriented cognitive processes such as daydreaming, reminiscing and future …
Getting aligned on representational alignment
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 …
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …
Multimodal language processing in human communication
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 …
of a plethora of multimodal signals. Trying to understand the psycholinguistic processing of …
Measuring shared responses across subjects using intersubject correlation
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 …
experience. By leveraging one individual's brain activity to model another's, we can measure …
Discovering event structure in continuous narrative perception and memory
During realistic, continuous perception, humans automatically segment experiences into
discrete events. Using a novel model of cortical event dynamics, we investigate how cortical …
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
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 …
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
Our lives revolve around sharing experiences and memories with others. When different
people recount the same events, how similar are their underlying neural representations …
people recount the same events, how similar are their underlying neural representations …