Results 41 to 50 of about 293,378 (334)
The power of associative learning and the ontogeny of optimal behaviour [PDF]
Royal Society Open Science, 2016 Behaving efficiently (optimally or near-optimally) is central to animals' adaptation to their environment. Much evolutionary biology assumes, implicitly or explicitly, that optimal behavioural strategies are genetically inherited, yet the behaviour of ...
Magnus Enquist +2 more
doaj +1 more source
Resting frontal asymmetry and reward sensitivity theory motivational traits [PDF]
, 2018 The revised reinforcement sensitivity theory (rRST) of personality has conceptualized three main systems: the behavioural approach system (BAS), behavioural inhibition system (BIS), and fightflight- freeze system (FFFS). Research links greater relative
De Pascalis, Vilfredo +2 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Criticizing Montessori’s Method of Early Childhood Education using Islamic Psychology Perspective
Jurnal Pendidikan Islam, 2019 This study examined critically Montessori’s concepts on early childhood education through Islamic Psychology perspective. This research used qualitative methodology with a literature approach.
Septi Gumiandari +2 more
doaj +1 more source
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 +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
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Response Speed as a Function of Different Reinforcement Conditions and a Ready Signal [PDF]
, 1967 80 preschool children were each administered 40 trials on a key-pressing apparatus. Marbles served as reinforcers. So given a ready signal performed faster than So not given a ready signal.
Sheikh, Anees A
core +1 more source
Molecular Oncology, EarlyView.Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 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 +5 more
doaj +1 more source