Inductive biases for deep learning of higher-level cognition

A Goyal, Y Bengio - Proceedings of the Royal Society A, 2022 - royalsocietypublishing.org
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …

Locus coeruleus: a new look at the blue spot

GR Poe, S Foote, O Eschenko, JP Johansen… - Nature Reviews …, 2020 - nature.com
The locus coeruleus (LC), or 'blue spot', is a small nucleus located deep in the brainstem
that provides the far-reaching noradrenergic neurotransmitter system of the brain. This …

Explanations can reduce overreliance on ai systems during decision-making

H Vasconcelos, M Jörke… - Proceedings of the …, 2023 - dl.acm.org
Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …

Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources

F Lieder, TL Griffiths - Behavioral and brain sciences, 2020 - cambridge.org
Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Pupil dilation as an index of effort in cognitive control tasks: A review

P van der Wel, H Van Steenbergen - Psychonomic bulletin & review, 2018 - Springer
Pupillometry research has experienced an enormous revival in the last two decades. Here
we briefly review the surge of recent studies on task-evoked pupil dilation in the context of …

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 …

The effort paradox: Effort is both costly and valued

M Inzlicht, A Shenhav, CY Olivola - Trends in cognitive sciences, 2018 - cell.com
According to prominent models in cognitive psychology, neuroscience, and economics,
effort (be it physical or mental) is costly: when given a choice, humans and non-human …

Fatigue and human performance: an updated framework

M Behrens, M Gube, H Chaabene, O Prieske, A Zenon… - Sports medicine, 2023 - Springer
Fatigue has been defined differently in the literature depending on the field of research. The
inconsistent use of the term fatigue complicated scientific communication, thereby limiting …

The self-regulation-view in writing-to-learn: Using journal writing to optimize cognitive load in self-regulated learning

M Nückles, J Roelle, I Glogger-Frey, J Waldeyer… - Educational Psychology …, 2020 - Springer
We propose the self-regulation view in writing-to-learn as a promising theoretical
perspective that draws on models of self-regulated learning theory and cognitive load …

[PDF][PDF] Deep reinforcement learning and its neuroscientific implications

M Botvinick, JX Wang, W Dabney, KJ Miller… - Neuron, 2020 - cell.com
The emergence of powerful artificial intelligence (AI) is defining new research directions in
neuroscience. To date, this research has focused largely on deep neural networks trained …