Results 51 to 60 of about 75,210 (257)

A comparison of implicit and explicit reward learning in low risk alcohol users versus people who binge drink and people with alcohol dependence

Addictive Behaviors Reports, 2019
Chronic alcohol use leads to specific neurobiological alterations in the dopaminergic brain reward system, which probably are leading to a reward deficiency syndrome in alcohol dependence.
Yvonne Paelecke-Habermann, Marko Paelecke, Juliane Mauth, Juliane Tschisgale, Johannes Lindenmeyer, Andrea Kübler   +5 more
doaj   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

TDCS effects on pointing task learning in young and old adults

Scientific Reports, 2021
Skill increase in motor performance can be defined as explicitly measuring task success but also via more implicit measures of movement kinematics. Even though these measures are often related, there is evidence that they represent distinct concepts of ...
E. Kaminski, M. Engelhardt, M. Hoff, C. Steele, A.Villringer, P. Ragert   +5 more
doaj   +1 more source

Implicit Online Learning with Kernels [PDF]

, 2007
We present two new algorithms for online learning in reproducing kernel Hilbert spaces. Our first algorithm, ILK (implicit online learning with kernels), employs a new, implicit update technique that can be applied to a wide variety of convex loss functions.
Cheng, Li, Vishwanathan, S. V. N., Schuurmans, Dale, Wang, Shaojun, Caelli, Terry   +4 more
openaire   +3 more sources

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

How transcranial direct current stimulation can modulate implicit motor sequence learning and consolidation: A brief review

Frontiers in Human Neuroscience, 2016
The purpose of this review is to investigate how transcranial direct current stimulation (tDCS) can modulate implicit motor sequence learning and consolidation.
Branislav eSavic, Branislav eSavic, Beat eMeier, Beat eMeier   +3 more
doaj   +1 more source

Implicit Distributional Reinforcement Learning

CoRR, 2020
To improve the sample efficiency of policy-gradient based reinforcement learning algorithms, we propose implicit distributional actor-critic (IDAC) that consists of a distributional critic, built on two deep generator networks (DGNs), and a semi-implicit actor (SIA), powered by a flexible policy distribution.
Yuguang Yue, Zhendong Wang 0005, Mingyuan Zhou   +2 more
openaire   +3 more sources

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

The effects of the implementation order of implicit and explicit learning methods on learners' task enjoyment and motor skill acquisition

Frontiers in Sports and Active Living
PurposeThis study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills in gymnastics.
Yuki Matsuura, Hiroki Matsuoka, Yoshifumi Isa, Yosuke Sakairi   +3 more
doaj   +1 more source

Implicit learning of geometric eigenfaces

Vision Research, 2014
The human visual system can implicitly extract a prototype of encountered visual objects (Posner & Keele, 1968). While learning a prototype provides an efficient way of encoding objects at the category level, discrimination among individual objects requires encoding of variations among them as well. Here we show that in addition to the prototype, human
Gao, Xiaoqing, Wilson, Hugh R.
openaire   +2 more sources