Background Physiological noise is one of the major confounds for fMRI. A common class of correction methods model noise from peripheral measures, such as ECGs or pneumatic …
In Bayesian brain theories, hierarchically related prediction errors (PEs) play a central role for predicting sensory inputs and inferring their underlying causes, eg, the probabilistic …
CA Hill, S Suzuki, R Polania, M Moisa… - Nature …, 2017 - nature.com
During competitive interactions, humans have to estimate the impact of their own actions on their opponent's strategy. Here we provide evidence that neural computations in the right …
TU Hauser, R Iannaccone, S Walitza, D Brandeis… - NeuroImage, 2015 - Elsevier
Adolescence is associated with quickly changing environmental demands which require excellent adaptive skills and high cognitive flexibility. Feedback-guided adaptive learning …
M Widmer, N Ziegler, J Held, A Luft, K Lutz - Progress in brain research, 2016 - Elsevier
Abstract Knowledge of performance can activate the striatum, a key region of the reward system and highly relevant for motivated behavior. Using functional magnetic resonance …
Optimal decision making mandates organisms learn the relevant features of choice options. Likewise, knowing how much effort we should expend can assume paramount importance …
TU Hauser, R Iannaccone, J Ball, C Mathys… - JAMA …, 2014 - jamanetwork.com
Importance Attention-deficit/hyperactivity disorder (ADHD) has been associated with deficient decision making and learning. Models of ADHD have suggested that these deficits …
The subjective values of choice options can impact on behavior in two fundamentally different types of situations: first, when people explicitly base their actions on such values …
The dopaminergic system is involved in reward encoding and reinforcement learning. Dopaminergic neurons from this system in the substantia nigra/ventral tegmental area …