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 …
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 …
Toward a hierarchical model of social cognition: A neuroimaging meta-analysis and integrative review of empathy and theory of mind.
Along with the increased interest in and volume of social cognition research, there has been
higher awareness of a lack of agreement on the concepts and taxonomy used to study social …
higher awareness of a lack of agreement on the concepts and taxonomy used to study social …
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 …
The language network as a natural kind within the broader landscape of the human brain
Abstract Language behaviour is complex, but neuroscientific evidence disentangles it into
distinct components supported by dedicated brain areas or networks. In this Review, we …
distinct components supported by dedicated brain areas or networks. In this Review, we …
Building a science of individual differences from fMRI
To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …
brain function through averaging data from multiple subjects. Given rapid developments in …
[HTML][HTML] Fractionating theory of mind: a meta-analysis of functional brain imaging studies
We meta-analyzed imaging studies on theory of mind and formed individual task groups
based on stimuli and instructions. Overlap in brain activation between all task groups was …
based on stimuli and instructions. Overlap in brain activation between all task groups was …
[引用][C] Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts
S Dehaene - 2014 - books.google.com
WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain
and How We Learn, a breathtaking look at the new science that can track consciousness …
and How We Learn, a breathtaking look at the new science that can track consciousness …
[图书][B] Making minds: How theory of mind develops
HM Wellman - 2014 - books.google.com
Developmental psychologists coined the term" theory of mind" to describe how we
understand our shifting mental states in daily life. Over the past twenty years researchers …
understand our shifting mental states in daily life. Over the past twenty years researchers …
Deconstructing and reconstructing theory of mind
Usage of the term 'theory of mind'(ToM) has exploded across fields ranging from
developmental psychology to social neuroscience and psychiatry research. However, its …
developmental psychology to social neuroscience and psychiatry research. However, its …