Results 51 to 60 of about 1,411,349 (304)

Reinforcement and Punishment Shape the Learning Dynamics in fMRI Neurofeedback

Frontiers in Human Neuroscience, 2020
IntroductionNeurofeedback (NF) using real-time functional magnetic resonance imaging (fMRI) has proven to be a valuable neuroscientific tool for probing cognition and promising therapeutic approach for several psychiatric disorders.
Manfred Klöbl, Paul Michenthaler, Godber Mathis Godbersen, Simon Robinson, Simon Robinson, Simon Robinson, Andreas Hahn, Rupert Lanzenberger   +7 more
doaj   +1 more source

Asymmetric and adaptive reward coding via normalized reinforcement learning.

PLoS Computational Biology, 2022
Learning is widely modeled in psychology, neuroscience, and computer science by prediction error-guided reinforcement learning (RL) algorithms. While standard RL assumes linear reward functions, reward-related neural activity is a saturating, nonlinear ...
Kenway Louie
doaj   +1 more source

Suboptimal Choice Behaviour across Different Reinforcement Probabilities [PDF]

, 2015
Six adult roosters’ choice behaviour was investigated across a series of five experimental conditions and a series of replication of the same five experimental conditions. Stagner and Zentall (2010) found that pigeons prefer to choose an alternative with
Yang, Le
core  

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Developmental Changes in Learning: Computational Mechanisms and Social Influences

Frontiers in Psychology, 2017
Our ability to learn from the outcomes of our actions and to adapt our decisions accordingly changes over the course of the human lifespan. In recent years, there has been an increasing interest in using computational models to understand developmental ...
Florian Bolenz, Andrea M. F. Reiter, Andrea M. F. Reiter, Ben Eppinger, Ben Eppinger, Ben Eppinger   +5 more
doaj   +1 more source

Individuals With Multijoint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data From the Canadian Longitudinal Study on Aging

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell, Rebecca Moyer, Myles W. O'Brien   +2 more
wiley   +1 more source

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source

Human in the loop reinforcement learning framework for adaptive phishing detection

Discover Computing
Phishing attacks remain a persistent threat in cybersecurity, exploiting human psychology to extract confidential information. Conventional machine learning and Reinforcement Learning (RL) approaches often rely on rigid binary reward structures that ...
Sohail Khan
doaj   +1 more source

A new paradigm to study social and physical affordances as model-based reinforcement learning

Cognitive Robotics
Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances in the absence of human interaction can be ...
Augustin Chartouny, Keivan Amini, Mehdi Khamassi, Benoît Girard   +3 more
doaj   +1 more source

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration

Advanced Materials, EarlyView.
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick, Salim El Hadwe, Kesi Liang, George G. Malliaras, Damiano G. Barone   +4 more
wiley   +1 more source