The empirical status of predictive coding and active inference
Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …
theories: Predictive Coding for perception and Active Inference for decision-making. While …
[HTML][HTML] Deep brain stimulation for psychiatric disorders: from focal brain targets to cognitive networks
CRP Sullivan, S Olsen, AS Widge - Neuroimage, 2021 - Elsevier
Deep brain stimulation (DBS) is a promising intervention for treatment-resistant psychiatric
disorders, particularly major depressive disorder (MDD) and obsessive-compulsive disorder …
disorders, particularly major depressive disorder (MDD) and obsessive-compulsive disorder …
Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches
Making effective decisions during approach-avoidance conflict is critical in daily life.
Aberrant decision-making during approach-avoidance conflict is evident in a range of …
Aberrant decision-making during approach-avoidance conflict is evident in a range of …
The role of the dorsal–lateral prefrontal cortex in reward sensitivity during approach–avoidance conflict
Abstract Approach–Avoidance conflict (AAC) arises from decisions with embedded positive
and negative outcomes, such that approaching leads to reward and punishment and …
and negative outcomes, such that approaching leads to reward and punishment and …
The neural signature of the decision value of future pain
Pain is a primary driver of action. We often must voluntarily accept pain to gain rewards.
Conversely, we may sometimes forego potential rewards to avoid associated pain. In this …
Conversely, we may sometimes forego potential rewards to avoid associated pain. In this …
Using mobile brain/body imaging to advance research in arts, health, and related therapeutics
The uses of mobile brain/body imaging (MoBI) are expanding and allow for more direct
study of the neurophysiological signals associated with behavior in psychotherapeutic …
study of the neurophysiological signals associated with behavior in psychotherapeutic …
[HTML][HTML] Large-scale neural network computations and multivariate representations during approach-avoidance conflict decision-making
N Moughrabi, C Botsford, TS Gruichich, A Azar… - NeuroImage, 2022 - Elsevier
Many real-world situations require navigating decisions for both reward and threat. While
there has been significant progress in understanding mechanisms of decision-making and …
there has been significant progress in understanding mechanisms of decision-making and …
The neurocomputational link between defensive cardiac states and approach-avoidance arbitration under threat
Avoidance, a hallmark of anxiety-related psychopathology, often comes at a cost; avoiding
threat may forgo the possibility of a reward. Theories predict that optimal approach …
threat may forgo the possibility of a reward. Theories predict that optimal approach …
Elucidating medial temporal and frontal lobe contributions to approach-avoidance conflict decision-making using functional MRI and the hierarchical drift diffusion …
The prefrontal cortex (PFC) has long been associated with arbitrating between approach
and avoidance in the face of conflicting and uncertain motivational information, but recent …
and avoidance in the face of conflicting and uncertain motivational information, but recent …
How Distributed Subcortical Integration of Reward and Threat May Inform Subsequent Approach–Avoidance Decisions
Healthy and successful living involves carefully navigating rewarding and threatening
situations by balancing approach and avoidance behaviors. Excessive avoidance to evade …
situations by balancing approach and avoidance behaviors. Excessive avoidance to evade …