Opponent intracerebral signals for reward and punishment prediction errors in humans

MCM Gueguen, P Billeke, JP Lachaux, S Rheims… - BioRxiv, 2020 - biorxiv.org
Whether maximizing rewards and minimizing punishments rely on distinct brain systems
remains debated, inconsistent results coming from human neuroimaging and animal …

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 …

[PDF][PDF] Rewards and punishment learning differentially modulates intracerebral brain dynamics

MCM Gueguen, JP Lachaux, P Kahane… - … intracérébrale de l' … - researchgate.net
Although the neural activities underlying reward-based and punishment-avoidance learning
have been extensively studied, the neural dynamics underlying these forms of reinforcement …

[HTML][HTML] Ubiquity and specificity of reinforcement signals throughout the human brain

TJ Vickery, MM Chun, D Lee - Neuron, 2011 - cell.com
Reinforcements and punishments facilitate adaptive behavior in diverse domains ranging
from perception to social interactions. A conventional approach to understanding the …

[PDF][PDF] Substrates of human prediction error for incentives, perception, cognition, and action

PR Corlett, JA Mollick, H Kober - 2021 - psyarxiv.com
Prediction errors (PEs) are a keystone for computational neuroscience. Their association
with midbrain neural firing has been confirmed across species and has inspired the …

Biased credit assignment in motivational learning biases arises through prefrontal influences on striatal learning

J Algermissen, JC Swart, R Scheeringa, R Cools… - bioRxiv, 2021 - biorxiv.org
Actions are biased by the outcomes they can produce: Humans are more likely to show
action under reward prospect, but hold back under punishment prospect. Such motivational …

[HTML][HTML] Go and no-go learning in reward and punishment: interactions between affect and effect

M Guitart-Masip, QJM Huys, L Fuentemilla, P Dayan… - Neuroimage, 2012 - Elsevier
Decision-making invokes two fundamental axes of control: affect or valence, spanning
reward and punishment, and effect or action, spanning invigoration and inhibition. We …

Breaking deadlocks: Reward probability and spontaneous preference shape voluntary decisions and electrophysiological signals in humans

W Zajkowski, D Krzemiński, J Barone, LH Evans… - Computational Brain & …, 2021 - Springer
Choosing between equally valued options is a common conundrum, for which classical
decision theories predicted a prolonged response time (RT). This contrasts with the notion …

Decomposing Loss Aversion from a Single Neural Signal

R Wang, X Wang, ML Platt, F Sheng - iScience, 2024 - cell.com
People often display stronger aversion to losses than appetite for equivalent gains, a
widespread phenomenon known as loss aversion. The prevailing theory attributes loss …

Meta-analysis of human prediction error for incentives, perception, cognition, and action

PR Corlett, JA Mollick, H Kober - Neuropsychopharmacology, 2022 - nature.com
Prediction errors (PEs) are a keystone for computational neuroscience. Their association
with midbrain neural firing has been confirmed across species and has inspired the …