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 …
Replay, the default mode network and the cascaded memory systems model
The spontaneous replay of patterns of activity related to past experiences and memories is a
striking feature of brain activity, as is the coherent activation of sets of brain areas …
striking feature of brain activity, as is the coherent activation of sets of brain areas …
[HTML][HTML] Geometric constraints on human brain function
The anatomy of the brain necessarily constrains its function, but precisely how remains
unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics …
unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics …
Shared computational principles for language processing in humans and deep language models
Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self …
new type of predictive (autoregressive) deep language models (DLMs). Using a self …
[HTML][HTML] Continual lifelong learning with neural networks: A review
Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …
Naturalistic stimuli in neuroscience: critically acclaimed
Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …
using abstract stimuli. While this approach has yielded fundamental insights into functional …
Intrinsic neural timescales: temporal integration and segregation
A Wolff, N Berberian, M Golesorkhi… - Trends in cognitive …, 2022 - cell.com
We are continuously bombarded by external inputs of various timescales from the
environment. How does the brain process this multitude of timescales? Recent resting state …
environment. How does the brain process this multitude of timescales? Recent resting state …
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 …
Large-scale gradients in human cortical organization
Recent advances in map** cortical areas in the human brain provide a basis for
investigating the significance of their spatial arrangement. Here we describe a dominant …
investigating the significance of their spatial arrangement. Here we describe a dominant …
Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events
ZM Reagh, C Ranganath - Nature Communications, 2023 - nature.com
Although every life event is unique, there are considerable commonalities across events.
However, little is known about whether or how the brain flexibly represents information about …
However, little is known about whether or how the brain flexibly represents information about …