Meta-learning, social cognition and consciousness in brains and machines

Trace conditioning as a test for animal consciousness: a new approach

(2021) Paula Droege et al.   ANIMAL COGNITION

Deep learning and the Global Workspace Theory

(2021) Rufin VanRullen et al.   TRENDS IN NEUROSCIENCES

Deep Reinforcement Learning and Its Neuroscientific Implications

(2020) Matthew Botvinick et al.   NEURON

Map Making: Constructing, Combining, and Inferring on Abstract Cognitive Maps

(2020) Seongmin A. Park et al.   NEURON

Mastering Atari, Go, chess and shogi by planning with a learned model

(2020) Julian Schrittwieser et al.   NATURE

What is dopamine doing in model-based reinforcement learning?

(2020) Thomas Akam et al.   Current Opinion in Behavioral Sciences

Computing Social Value Conversion in the Human Brain

(2019) Haruaki Fukuda et al.   JOURNAL OF NEUROSCIENCE

The Global Workspace Needs Metacognition

(2019) Nicholas Shea et al.   TRENDS IN COGNITIVE SCIENCES

Reinforcement Learning, Fast and Slow

(2019) Matthew Botvinick et al.   TRENDS IN COGNITIVE SCIENCES

Human-level performance in 3D multiplayer games with population-based reinforcement learning

(2019) Max Jaderberg et al.   SCIENCE

Learning task-state representations

(2019) Yael Niv   NATURE NEUROSCIENCE

Uncovering the ‘state’: Tracing the hidden state representations that structure learning and decision-making

(2019) Angela J. Langdon et al.   BEHAVIOURAL PROCESSES

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

Hierarchical motor control in mammals and machines

(2019) Josh Merel et al.   Nature Communications

Model-based predictions for dopamine

(2018) Angela J Langdon et al.   CURRENT OPINION IN NEUROBIOLOGY

Prefrontal cortex as a meta-reinforcement learning system

(2018) Jane X. Wang et al.   NATURE NEUROSCIENCE

The Medial Prefrontal Cortex Shapes Dopamine Reward Prediction Errors under State Uncertainty

(2018) Clara Kwon Starkweather et al.   NEURON

On the computability of Solomonoff induction and AIXI

(2018) Jan Leike et al.   THEORETICAL COMPUTER SCIENCE

Dopamine reward prediction errors reflect hidden-state inference across time

(2017) Clara Kwon Starkweather et al.   NATURE NEUROSCIENCE

Dopamine Neurons Respond to Errors in the Prediction of Sensory Features of Expected Rewards

(2017) Yuji K. Takahashi et al.   NEURON

What is consciousness, and could machines have it?

(2017) Stanislas Dehaene et al.   SCIENCE

Building machines that learn and think like people

(2016) Brenden M. Lake et al.   BEHAVIORAL AND BRAIN SCIENCES

Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral Striatum

(2016) Yuji K. Takahashi et al.   NEURON

Midbrain dopamine neurons compute inferred and cached value prediction errors in a common framework

(2016) Brian F Sadacca et al.   eLife

Parallel basal ganglia circuits for voluntary and automatic behaviour to reach rewards

(2015) Hyoung F. Kim et al.   BRAIN

Arithmetic and local circuitry underlying dopamine prediction errors

(2015) Neir Eshel et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task

(2015) Thomas Akam et al.   PLoS Computational Biology

Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation

(2014) Peter Dayan et al.   COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE

Multiplexing signals in reinforcement learning with internal models and dopamine

(2014) Hiroyuki Nakahara   CURRENT OPINION IN NEUROBIOLOGY

Metalearning: a survey of trends and technologies

(2013) Christiane Lemke et al.   ARTIFICIAL INTELLIGENCE REVIEW

How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis

(2012) Anne G. E. Collins et al.   EUROPEAN JOURNAL OF NEUROSCIENCE

Prefrontal Contributions to Metacognition in Perceptual Decision Making

(2012) S. M. Fleming et al.   JOURNAL OF NEUROSCIENCE

Learning to Simulate Others' Decisions

(2012) Shinsuke Suzuki et al.   NEURON

Twenty-Five Lessons from Computational Neuromodulation

(2012) Peter Dayan   NEURON

Learning to represent reward structure: A key to adapting to complex environments

(2012) Hiroyuki Nakahara et al.   NEUROSCIENCE RESEARCH

Metacognition in human decision-making: confidence and error monitoring

(2012) N. Yeung et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Human Dorsal Striatum Encodes Prediction Errors during Observational Learning of Instrumental Actions

(2011) Jeffrey C. Cooper et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Computational psychiatry

(2011) P. Read Montague et al.   TRENDS IN COGNITIVE SCIENCES

The Neuroscience of Social Decision-Making

(2010) James K. Rilling et al.   Annual Review of Psychology

When Giving Is Good: Ventromedial Prefrontal Cortex Activation for Others' Intentions

(2010) Jeffrey C. Cooper et al.   NEURON

Neural mechanisms of observational learning

(2010) C. J. Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes

(2010) Rajesh P. N. Rao   Frontiers in Computational Neuroscience

Hidden semi-Markov models

(2009) Shun-Zheng Yu   ARTIFICIAL INTELLIGENCE

Metamemory as evidence of animal consciousness: the type that does the trick

(2009) Nicholas Shea et al.   BIOLOGY & PHILOSOPHY

The Computation of Social Behavior

(2009) T. E. J. Behrens et al.   SCIENCE

The temporal precision of reward prediction in dopamine neurons

(2008) Christopher D Fiorillo et al.   NATURE NEUROSCIENCE

Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System

(2008) Elliot A. Ludvig et al.   NEURAL COMPUTATION