Artificial Grammar Learning in Children With Developmental Language Disorder. [PDF]
J Speech Lang Hear Res, 2022 Gillis JU +4 more
europepmc +1 more source
Lessons From Artificial Grammar Learning
Topics in cognitive science, 2019 Zuidema et al. illustrate how empirical AGL studies can benefit from computational models and techniques. Computational models can help clarifying theories, and thus in delineating research questions, but also in facilitating experimental design, stimulus generation, and data analysis.
Willem Zuidema +6 more
openaire +1 more source
Small, EarlyView.Antimicrobial peptides (AMPs) are promising candidates for nextâgeneration antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti +5 more
wiley +1 more source
The Role of Attention, Language Ability, and Language Experience in Children's Artificial Grammar Learning. [PDF]
J Speech Lang Hear Res, 2022 Crespo K, Kaushanskaya M.
europepmc +1 more source
SARDSRN: A NEURAL NETWORK SHIFT-REDUCE PARSER [PDF]
, 1999 Simple Recurrent Networks (SRNs) have been widely used in natural language tasks. SARDSRN extends the SRN by explicitly representing the input sequence in a SARDNET self-organizing map.
Mayberry, Marshall R. +1 more
core +2 more sources
A Systems Engineering Methodology for System of Autonomous Systems: Architecture and Integration
Systems Engineering, EarlyView.ABSTRACT Artificial intelligence and machine learning (AI/ML) rapidly transform systems by providing autonomous capabilities. This new class of systems can become a constituent system in a system of systems (SoS) to evolve it into a system of autonomous systems (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley +1 more source
Pre-frontal tDCS improves sustained attention and promotes artificial grammar learning in aphasia: An open-label study. [PDF]
Brain Stimul, 2022 Riley EA +3 more
europepmc +1 more source
Information Compression, Intelligence, Computing, and Mathematics [PDF]
, 2015 This paper presents evidence for the idea that much of artificial intelligence, human perception and cognition, mainstream computing, and mathematics, may be understood as compression of information via the matching and unification of patterns.
Wolff, J. Gerard
core
A Systems Engineering Methodology for System of Autonomous Systems: Test and Evaluation
Systems Engineering, EarlyView.ABSTRACT Recent advances in artificial intelligence and machine learning (AI/ML) have resulted in autonomous systems that reduce operators' workload and involvement in hazardous missions. Integrating these systems into an existing system of systems (SoS) can evolve it into a system of autonomous system (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley +1 more source
Desirable Difficulties in Language Learning? How Talker Variability Impacts Artificial Grammar Learning. [PDF]
Lang Learn, 2021 Bulgarelli F, Weiss DJ.
europepmc +1 more source