The importance of falsification in computational cognitive modeling

S Palminteri, V Wyart, E Koechlin - Trends in cognitive sciences, 2017 - cell.com
In the past decade the field of cognitive sciences has seen an exponential growth in the
number of computational modeling studies. Previous work has indicated why and how …

Better living through understanding the insula: Why subregions can make all the difference

SW Centanni, AC Janes, DL Haggerty, B Atwood… - …, 2021 - Elsevier
Insula function is considered critical for many motivated behaviors, with proposed functions
ranging from attention, behavioral control, emotional regulation, goal-directed and aversion …

The anticipation and outcome phases of reward and loss processing: A neuroimaging meta‐analysis of the monetary incentive delay task

S Oldham, C Murawski, A Fornito… - Human brain …, 2018 - Wiley Online Library
The processing of rewards and losses are crucial to everyday functioning. Considerable
interest has been attached to investigating the anticipation and outcome phases of reward …

Decision making in the ageing brain: changes in affective and motivational circuits

GR Samanez-Larkin, B Knutson - Nature Reviews Neuroscience, 2015 - nature.com
As the global population ages, older decision makers will be required to take greater
responsibility for their own physical, psychological and financial well-being. With this in …

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 …

Contextual modulation of value signals in reward and punishment learning

S Palminteri, M Khamassi, M Joffily… - Nature communications, 2015 - nature.com
Compared with reward seeking, punishment avoidance learning is less clearly understood
at both the computational and neurobiological levels. Here we demonstrate, using …

Impaired reward prediction error encoding and striatal-midbrain connectivity in depression

P Kumar, F Goer, L Murray, DG Dillon… - …, 2018 - nature.com
Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments)
are core features of major depressive disorder (MDD), which could stem from abnormal …

[HTML][HTML] A neurocomputational account of how inflammation enhances sensitivity to punishments versus rewards

NA Harrison, V Voon, M Cercignani, EA Cooper… - Biological …, 2016 - Elsevier
Background Inflammation rapidly impairs mood and cognition and, when severe, can
appear indistinguishable from major depression. These sickness responses are …

Anatomical dissociation of intracerebral signals for reward and punishment prediction errors in humans

MCM Gueguen, A Lopez-Persem, P Billeke… - Nature …, 2021 - nature.com
Whether maximizing rewards and minimizing punishments rely on distinct brain systems
remains debated, given inconsistent results coming from human neuroimaging and animal …

The computational development of reinforcement learning during adolescence

S Palminteri, EJ Kilford, G Coricelli… - PLoS computational …, 2016 - journals.plos.org
Adolescence is a period of life characterised by changes in learning and decision-making.
Learning and decision-making do not rely on a unitary system, but instead require the …