Signal propagation in complex networks

P Ji, J Ye, Y Mu, W Lin, Y Tian, C Hens, M Perc, Y Tang… - Physics reports, 2023 - Elsevier
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Working Memory 2.0

EK Miller, M Lundqvist, AM Bastos - Neuron, 2018 - cell.com
Working memory is the fundamental function by which we break free from reflexive input-
output reactions to gain control over our own thoughts. It has two types of mechanisms …

Distributed coding of choice, action and engagement across the mouse brain

NA Steinmetz, P Zatka-Haas, M Carandini, KD Harris - Nature, 2019 - nature.com
Vision, choice, action and behavioural engagement arise from neuronal activity that may be
distributed across brain regions. Here we delineate the spatial distribution of neurons …

Cortical layer–specific critical dynamics triggering perception

JH Marshel, YS Kim, TA Machado, S Quirin, B Benson… - Science, 2019 - science.org
INTRODUCTION Perceptual experiences in mammals may arise from patterns of neural
circuit activity in cerebral cortex. For example, primary visual cortex (V1) is causally capable …

Task representations in neural networks trained to perform many cognitive tasks

GR Yang, MR Joglekar, HF Song, WT Newsome… - Nature …, 2019 - nature.com
The brain has the ability to flexibly perform many tasks, but the underlying mechanism
cannot be elucidated in traditional experimental and modeling studies designed for one task …

Dopamine and cognitive control in prefrontal cortex

T Ott, A Nieder - Trends in cognitive sciences, 2019 - cell.com
Cognitive control, the ability to orchestrate behavior in accord with our goals, depends on
the prefrontal cortex. These cognitive functions are heavily influenced by the …

Communication dynamics in complex brain networks

A Avena-Koenigsberger, B Misic… - Nature reviews …, 2018 - nature.com
Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

Continual learning of context-dependent processing in neural networks

G Zeng, Y Chen, B Cui, S Yu - Nature Machine Intelligence, 2019 - nature.com
Deep neural networks are powerful tools in learning sophisticated but fixed mapping rules
between inputs and outputs, thereby limiting their application in more complex and dynamic …

Rapid adaptation with conditionally shifted neurons

T Munkhdalai, X Yuan, S Mehri… - … on machine learning, 2018 - proceedings.mlr.press
We describe a mechanism by which artificial neural networks can learn rapid adaptation-the
ability to adapt on the fly, with little data, to new tasks-that we call conditionally shifted …

Task-dependent changes in the large-scale dynamics and necessity of cortical regions

L Pinto, K Rajan, B DePasquale, SY Thiberge… - Neuron, 2019 - cell.com
Neural activity throughout the cortex is correlated with perceptual decisions, but inactivation
studies suggest that only a small number of areas are necessary for these behaviors. Here …