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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 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 …
The default mode network in cognition: a topographical perspective
The default mode network (DMN) is a set of widely distributed brain regions in the parietal,
temporal and frontal cortex. These regions often show reductions in activity during attention …
temporal and frontal cortex. These regions often show reductions in activity during attention …
Language is primarily a tool for communication rather than thought
Abstract Language is a defining characteristic of our species, but the function, or functions,
that it serves has been debated for centuries. Here we bring recent evidence from …
that it serves has been debated for centuries. Here we bring recent evidence from …
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 …
Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies
Substantial progress has been made over the past two decades in detecting, predicting and
promoting recovery of consciousness in patients with disorders of consciousness (DoC) …
promoting recovery of consciousness in patients with disorders of consciousness (DoC) …
Driving and suppressing the human language network using large language models
Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …
human brain responses to language. Here, using functional-MRI-measured brain responses …
Resting-state fMRI functional connectivity and mindfulness in clinical and non-clinical contexts: A review and synthesis
This review synthesizes relations between mindfulness and resting-state fMRI functional
connectivity of brain networks. Mindfulness is characterized by present-moment awareness …
connectivity of brain networks. Mindfulness is characterized by present-moment awareness …
Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness
Consciousness is composed of arousal (ie, wakefulness) and awareness. Substantial
progress has been made in map** the cortical networks that underlie awareness in the …
progress has been made in map** the cortical networks that underlie awareness in the …
The human connectome in Alzheimer disease—relationship to biomarkers and genetics
The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …
resulting in cognitive impairment. The results of recent connectomics studies have now …