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 …

Replay, the default mode network and the cascaded memory systems model

K Kaefer, F Stella, BL McNaughton… - Nature Reviews …, 2022 - nature.com
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 …

[HTML][HTML] Geometric constraints on human brain function

JC Pang, KM Aquino, M Oldehinkel, PA Robinson… - Nature, 2023 - nature.com
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 …

Shared computational principles for language processing in humans and deep language models

A Goldstein, Z Zada, E Buchnik, M Schain, A Price… - Nature …, 2022 - nature.com
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 …

[HTML][HTML] Continual lifelong learning with neural networks: A review

GI Parisi, R Kemker, JL Part, C Kanan, S Wermter - Neural networks, 2019 - Elsevier
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 …

Naturalistic stimuli in neuroscience: critically acclaimed

S Sonkusare, M Breakspear, C Guo - Trends in cognitive sciences, 2019 - cell.com
Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
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 …

Driving and suppressing the human language network using large language models

G Tuckute, A Sathe, S Srikant, M Taliaferro… - Nature Human …, 2024 - nature.com
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 …

Large-scale gradients in human cortical organization

JM Huntenburg, PL Bazin, DS Margulies - Trends in cognitive sciences, 2018 - cell.com
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 …

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 …