Explaining the Return of Fear with Revised Rescorla-Wagner Models [0.03%]
用修正的Rescorla-Wagner模型解释恐惧情绪的产生机制
Samuel Paskewitz,Joel Stoddard,Matt Jones
Samuel Paskewitz
Exposure therapy - exposure to a feared stimulus without harmful consequences - can reduce fear responses in many mental disorders. However, such relief is often partial and temporary: fear can return after the therapy has ended. Conditioni...
A Computational Model of Non-optimal Suspiciousness in the Minnesota Trust Game [0.03%]
明尼苏达信任博弈中的非最优怀疑的计算模型
Rebecca Kazinka,Iris Vilares,Angus W MacDonald rd
Rebecca Kazinka
This study modelled spite sensitivity, the worry that others are willing to incur a loss to hurt you, which is thought to undergird suspiciousness and persecutory ideation. Two samples performed a parametric, non-iterative trust game known ...
Slower Learning Rates from Negative Outcomes in Substance Use Disorder over a 1-Year Period and Their Potential Predictive Utility [0.03%]
在一年期间，物质使用障碍患者从负面结果中学习的速度较慢及其潜在的预测效用
Ryan Smith,Samuel Taylor,Jennifer L Stewart et al.
Ryan Smith et al.
Computational modelling is a promising approach to parse dysfunctional cognitive processes in substance use disorders (SUDs), but it is unclear how much these processes change during the recovery period. We assessed 1-year follow-up data on...
Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot Study [0.03%]
行为激活疗法的组成部分通过一项试点研究调动特定的学习机制
Quentin J M Huys,Evan M Russek,George Abitante et al.
Quentin J M Huys et al.
Background: Behavioral activation is an evidence-based treatment for depression. Theoretical considerations suggest that treatment response depends on reinforcement learning mechanisms. However, which reinforcement learni...
Perceptual Decision Impairments Linked to Obsessive-Compulsive Symptoms are Substantially Driven by State-Based Effects [0.03%]
与强迫症症状相关的感知决策损害主要是由状态效应驱动的
Claire M Kaplan,Alec Solway
Claire M Kaplan
Computational models of decision making have identified a relationship between obsessive-compulsive symptoms (OCS), both in the general population and in patients, and impairments in perceptual evidence accumulation. Some studies have inter...
A Computational Model of Hopelessness and Active-Escape Bias in Suicidality [0.03%]
希望lessness和主动-逃逸偏见的计算模型在自杀倾向中的应用
Povilas Karvelis,Andreea O Diaconescu
Povilas Karvelis
Currently, psychiatric practice lacks reliable predictive tools and a sufficiently detailed mechanistic understanding of suicidal thoughts and behaviors (STB) to provide timely and personalized interventions. Developing computational models...
Gambling Environment Exposure Increases Temporal Discounting but Improves Model-Based Control in Regular Slot-Machine Gamblers [0.03%]
赌博环境暴露增加普通老虎机赌徒的折现率但提高其基于模型的控制能力
Ben Wagner,David Mathar,Jan Peters
Ben Wagner
Gambling disorder is a behavioral addiction that negatively impacts personal finances, work, relationships and mental health. In this pre-registered study (https://osf.io/5ptz9/) we investigated the impact of real-life gambling environments...
What Can Reinforcement Learning Models of Dopamine and Serotonin Tell Us about the Action of Antidepressants? [0.03%]
多巴胺和血清素的强化学习模型能告诉我们什么关于抗抑郁药的作用吗？
Denis C L Lan,Michael Browning
Denis C L Lan
Although evidence suggests that antidepressants are effective at treating depression, the mechanisms behind antidepressant action remain unclear, especially at the cognitive/computational level. In recent years, reinforcement learning (RL) ...
Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions [0.03%]
非结构化临床交互中表型量化可行性分析
Daniel S Barron,Stephen Heisig,Carla Agurto et al.
Daniel S Barron et al.
We conducted a feasibility analysis to determine the quality of data that could be collected ambiently during routine clinical conversations. We used inexpensive, consumer-grade hardware to record unstructured dialogue and open-source softw...
Reliability of Decision-Making and Reinforcement Learning Computational Parameters [0.03%]
决策制定和强化学习计算参数的可靠性
Anahit Mkrtchian,Vincent Valton,Jonathan P Roiser
Anahit Mkrtchian
Computational models can offer mechanistic insight into cognition and therefore have the potential to transform our understanding of psychiatric disorders and their treatment. For translational efforts to be successful, it is imperative tha...