Results 101 to 110 of about 1,311,020 (347)
No evidence for inhibitory deficits or altered reward processing in ADHD: data from a new integrated incentive delay go/no-go task [PDF]
Objective: Cognitive and motivational factors differentially affect individuals with mental health problems such as ADHD. Here we introduce a new task to disentangle the relative contribution of inhibitory control and reward anticipation on task ...
Barke, Edmund +3 more
core +2 more sources
Humans forage for reward in reinforcement learning tasks
How do we make good decisions in uncertain environments? In psychology and neuroscience, the classic view is that we calculate the value of each option, compare them, and choose the most rewarding modulo exploratory noise.
Meriam Zid +7 more
semanticscholar +1 more source
Multi‐Functional Adaptive Interfaces for Next‐Generation Wearable and Implantable Bioelectronics
Adaptive Biointerfaces: A comprehensive overview of next‐generation bioelectronics is presented, highlighting mechano‐adaptive and biophysiologically adaptive interfaces that enable stable, long‐term integration with living tissues. As illustrated in the image, adaptive interface strategies, including mechano‐adaptivity (e.g., injectability, shape ...
Jinhong Park +7 more
wiley +1 more source
The reinforcement learning theory suggests that the feedback negativity should be larger when feedback is unexpected. Two recent studies found, however, that the feedback negativity was unaffected by outcome probability.
Hajcak, Greg +3 more
core +1 more source
Data from 617 healthy participants performing the Iowa gambling task: a "many labs" collaboration [PDF]
This data pool (N = 617) comes from 10 independent studies assessing performance of healthy participants (i.e., no known neurological impairments) on the Iowa gambling task (IGT) - a task measuring decision making under uncertainty in an experimental ...
Bechara +16 more
core +2 more sources
Reinforcement Learning in Social Sciences: A Survey
Reinforcement Learning (RL) has become one of the most prominent topics in artificial intelligence research. It is widely used in various fields, such as recommendation systems, psychology, economics, and natural language dialogue systems.
Doaa El-Shahat +2 more
semanticscholar +1 more source
INCREASING STUDENTS’ LEARNING INTEREST THROUGH BLENDED LEARNING IN THE EDUCATIONAL PSYCHOLOGY COURSE
Education is a development, reinforcement, and improvement attempt at people’s ability and potential through teaching, guidance, example, and so on needed by themselves, other people, and nation and state.
Uswatun Hasanah +2 more
doaj +1 more source
Distinct Biotypes of Visual Perception in Major Depressive Disorder
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai +13 more
wiley +1 more source
Reinforcement theory is a behavioral psychology theory proposed by Skinner, which has been widely applied in various fields such as management and education. Positive reinforcement and negative reinforcement are the two types of reinforcement.
Ke Pan
semanticscholar +1 more source
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source

