Reinforcement learning, fast and slow

M Botvinick, S Ritter, JX Wang, Z Kurth-Nelson… - Trends in cognitive …, 2019 - cell.com
Deep reinforcement learning (RL) methods have driven impressive advances in artificial
intelligence in recent years, exceeding human performance in domains ranging from Atari to …

[HTML][HTML] The expected value of control: an integrative theory of anterior cingulate cortex function

A Shenhav, MM Botvinick, JD Cohen - Neuron, 2013 - cell.com
The dorsal anterior cingulate cortex (dACC) has a near-ubiquitous presence in the
neuroscience of cognitive control. It has been implicated in a diversity of functions, from …

Building machines that learn and think like people

BM Lake, TD Ullman, JB Tenenbaum… - Behavioral and brain …, 2017 - cambridge.org
Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

Experimental and theoretical approaches to conscious processing

S Dehaene, JP Changeux - Neuron, 2011 - cell.com
Recent experimental studies and theoretical models have begun to address the challenge of
establishing a causal link between subjective conscious experience and measurable …

[CITATION][C] Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts

S Dehaene - 2014 - books.google.com
WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain
and How We Learn, a breathtaking look at the new science that can track consciousness …

Executive function in preschoolers: a review using an integrative framework.

N Garon, SE Bryson, IM Smith - Psychological bulletin, 2008 - psycnet.apa.org
During the last 2 decades, major advances have been made in understanding the
development of executive functions (EFs) in early childhood. This article reviews the EF …

Prefrontal cortex as a meta-reinforcement learning system

JX Wang, Z Kurth-Nelson, D Kumaran, D Tirumala… - Nature …, 2018 - nature.com
Over the past 20 years, neuroscience research on reward-based learning has converged on
a canonical model, under which the neurotransmitter dopamine 'stamps in'associations …

Future directions in childhood adversity and youth psychopathology

KA McLaughlin - Future work in clinical child and adolescent …, 2018 - taylorfrancis.com
Despite long-standing interest in the influence of adverse early experiences on mental
health, systematic scientific inquiry into childhood adversity and developmental outcomes …

Event perception: a mind-brain perspective.

JM Zacks, NK Speer, KM Swallow, TS Braver… - Psychological …, 2007 - psycnet.apa.org
People perceive and conceive of activity in terms of discrete events. Here the authors
propose a theory according to which the perception of boundaries between events arises …

Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia

RC O'Reilly, MJ Frank - Neural computation, 2006 - direct.mit.edu
The prefrontal cortex has long been thought to subserve both working memory (the holding
of information online for processing) and executive functions (deciding how to manipulate …