The computational roots of positivity and confirmation biases in reinforcement learning

S Palminteri, M Lebreton - Trends in Cognitive Sciences, 2022 - cell.com
Humans do not integrate new information objectively: outcomes carrying a positive affective
value and evidence confirming one's own prior belief are overweighed. Until recently …

Mood as representation of momentum

E Eldar, RB Rutledge, RJ Dolan, Y Niv - Trends in cognitive sciences, 2016 - cell.com
Experiences affect mood, which in turn affects subsequent experiences. Recent studies
suggest two specific principles. First, mood depends on how recent reward outcomes differ …

A distributional code for value in dopamine-based reinforcement learning

W Dabney, Z Kurth-Nelson, N Uchida, CK Starkweather… - Nature, 2020 - nature.com
Since its introduction, the reward prediction error theory of dopamine has explained a wealth
of empirical phenomena, providing a unifying framework for understanding the …

The primacy of behavioral research for understanding the brain.

Y Niv - Behavioral Neuroscience, 2021 - psycnet.apa.org
Understanding the brain requires us to answer both what the brain does, and how it does it.
Using a series of examples, I make the case that behavior is often more useful than …

Reinforcement learning in multidimensional environments relies on attention mechanisms

Y Niv, R Daniel, A Geana, SJ Gershman… - Journal of …, 2015 - Soc Neuroscience
In recent years, ideas from the computational field of reinforcement learning have
revolutionized the study of learning in the brain, famously providing new, precise theories of …

Interactions between the nucleus accumbens and auditory cortices predict music reward value

VN Salimpoor, I Van Den Bosch, N Kovacevic… - Science, 2013 - science.org
We used functional magnetic resonance imaging to investigate neural processes when
music gains reward value the first time it is heard. The degree of activity in the mesolimbic …

Forming beliefs: Why valence matters

T Sharot, N Garrett - Trends in cognitive sciences, 2016 - cell.com
One of the most salient attributes of information is valence: whether a piece of news is good
or bad. Contrary to classic learning theories, which implicitly assume beliefs are adjusted …

Dopamine-independent effect of rewards on choices through hidden-state inference

M Blanco-Pozo, T Akam, ME Walton - Nature Neuroscience, 2024 - nature.com
Dopamine is implicated in adaptive behavior through reward prediction error (RPE) signals
that update value estimates. There is also accumulating evidence that animals in structured …

Reinforcement learning across development: What insights can we draw from a decade of research?

K Nussenbaum, CA Hartley - Developmental cognitive neuroscience, 2019 - Elsevier
The past decade has seen the emergence of the use of reinforcement learning models to
study developmental change in value-based learning. It is unclear, however, whether these …

Behavioural and neural characterization of optimistic reinforcement learning

G Lefebvre, M Lebreton, F Meyniel… - Nature Human …, 2017 - nature.com
When forming and updating beliefs about future life outcomes, people tend to consider good
news and to disregard bad news. This tendency is assumed to support the optimism bias …