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Sequential replay of nonspatial task states in the human hippocampus

Science (American Association for the Advancement of Science), 2019-06, Vol.364 (6447)

2019

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Signed and unsigned reward prediction errors dynamically enhance learning and memory

eLife, 2021-03, Vol.10

2021

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Interaction between emotional state and learning underlies mood instability

Nature communications, 2015-01, Vol.6 (1), p.6149-6149, Article 6149

2015

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Reinforcement learning: The Good, The Bad and The Ugly

Current opinion in neurobiology, 2008-04, Vol.18 (2), p.185-196

2008

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Holistic Reinforcement Learning: The Role of Structure and Attention

Trends in cognitive sciences, 2019-04, Vol.23 (4), p.278-292

2019

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The effects of neural gain on attention and learning

Nature neuroscience, 2013-08, Vol.16 (8), p.1146-1153

2013

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Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments

Neuron (Cambridge, Mass.), 2017-01, Vol.93 (2), p.451-463

2017

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Learning task-state representations

Nature neuroscience, 2019-10, Vol.22 (10), p.1544

Niv, Yael

2019

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Human Orbitofrontal Cortex Represents a Cognitive Map of State Space

Neuron (Cambridge, Mass.), 2016-09, Vol.91 (6), p.1402-1412

2016

Volltextzugriff (PDF)

The computational nature of memory modification

eLife, 2017-03, Vol.6

2017

Volltextzugriff (PDF)

Reinforcement learning in multidimensional environments relies on attention mechanisms

The Journal of neuroscience, 2015-05, Vol.35 (21), p.8145-8157

2015

Volltextzugriff (PDF)

Reward prediction errors create event boundaries in memory

Cognition, 2020-10, Vol.203, p.104269-104269, Article 104269

2020

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Learning latent structure: carving nature at its joints

Current opinion in neurobiology, 2010-04, Vol.20 (2), p.251-256

2010

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The Two Cultures of Computational Psychiatry

JAMA psychiatry (Chicago, Ill.), 2019-06, Vol.76 (6), p.563

2019

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Biased evaluations emerge from inferring hidden causes

Nature human behaviour, 2021-09, Vol.5 (9), p.1180

2021

Volltextzugriff (PDF)

Orbitofrontal cortex as a cognitive map of task space

Neuron (Cambridge, Mass.), 2014-01, Vol.81 (2), p.267-279

2014

Volltextzugriff (PDF)

Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain

The Journal of neuroscience, 2012-01, Vol.32 (2), p.551-562

2012

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The Primacy of Behavioral Research for Understanding the Brain

Behavioral neuroscience, 2021-10, Vol.135 (5), p.601-609

2021

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Erratum to Gershman and Niv (2012), Learning & Behavior, 40, 255-268

Learning & behavior, 2020-12, Vol.48 (4), p.453-455

2020

Volltextzugriff (PDF)

Is Model Fitting Necessary for Model-Based fMRI?

PLoS computational biology, 2015-06, Vol.11 (6), p.e1004237-e1004237

2015

Volltextzugriff (PDF)

Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective

Cognition, 2009-12, Vol.113 (3), p.262-280

2009

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Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

PLoS computational biology, 2022-11, Vol.18 (11), p.e1010699-e1010699

2022

Volltextzugriff (PDF)

Dopamine transients do not act as model-free prediction errors during associative learning

Nature communications, 2020-01, Vol.11 (1), p.106-106, Article 106

2020

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Affect-congruent attention modulates generalized reward expectations

PLoS computational biology, 2023-12, Vol.19 (12), p.e1011707-e1011707

2023

Volltextzugriff (PDF)

The impact of orbitofrontal dysfunction on cocaine addiction

Nature neuroscience, 2012-03, Vol.15 (3), p.358-366

2012

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Sequential replay of nonspatial task states in the human hippocampus

Signed and unsigned reward prediction errors dynamically enhance learning and memory

Interaction between emotional state and learning underlies mood instability

Reinforcement learning: The Good, The Bad and The Ugly

Holistic Reinforcement Learning: The Role of Structure and Attention

The effects of neural gain on attention and learning

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments

Learning task-state representations

Human Orbitofrontal Cortex Represents a Cognitive Map of State Space

The computational nature of memory modification

Reinforcement learning in multidimensional environments relies on attention mechanisms

Reward prediction errors create event boundaries in memory

Learning latent structure: carving nature at its joints

The Two Cultures of Computational Psychiatry

Biased evaluations emerge from inferring hidden causes

Orbitofrontal cortex as a cognitive map of task space

Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain

The Primacy of Behavioral Research for Understanding the Brain

Erratum to Gershman and Niv (2012), Learning & Behavior, 40, 255-268

Is Model Fitting Necessary for Model-Based fMRI?

Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective

Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

Dopamine transients do not act as model-free prediction errors during associative learning

Affect-congruent attention modulates generalized reward expectations

The impact of orbitofrontal dysfunction on cocaine addiction

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