AIMC Topic: Learning

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Continual pre-training mitigates forgetting in language and vision.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2024
Pre-trained models are commonly used in Continual Learning to initialize the model before training on the stream of non-stationary data. However, pre-training is rarely applied during Continual Learning. We investigate the characteristics of the Cont...
Neural Networks, Computer Language Learning Humans
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Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency.

Acta psychologica Jul 1, 2024
The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documented. An individual's attitude toward AI significantly influences its adoption. Despite this, no specific scale has been designed to measure this attit...
Humans Factor Analysis, Statistical Artificial Intelligence Students Female Attitude Adult China Psychometrics Learning Multilingualism Reproducibility of Results Surveys and Questionnaires Male Adolescent Young Adult Universities
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Eye-tracker and fNIRS: Using neuroscientific tools to assess the learning experience during children's educational robotics activities.

Trends in neuroscience and education Jun 27, 2024
In technology education, there has been a paradigmatic shift towards student-centered approaches such as learning by doing, constructionism, and experiential learning. Educational robotics allows students to experiment with building and interacting w...
Problem-Based Learning Spectroscopy, Near-Infrared Child Robotics Humans Learning Eye-Tracking Technology
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Towards biologically plausible model-based reinforcement learning in recurrent spiking networks by dreaming new experiences.

Scientific reports Jun 25, 2024
Humans and animals can learn new skills after practicing for a few hours, while current reinforcement learning algorithms require a large amount of data to achieve good performances. Recent model-based approaches show promising results by reducing th...
Neural Networks, Computer Algorithms Computer Simulation Humans Action Potentials Neurons Nerve Net Learning Animals Models, Neurological Reinforcement, Psychology
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Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach.

PloS one Jun 25, 2024
This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administration Training Centre (BPATC), the apex training institute for civil servants. Utilizing fuzzy-set ...
Male Learning Female Surveys and Questionnaires Adult Humans Bangladesh Neural Networks, Computer
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Special considerations for the use of AI tools by PEERs as a learning and communication aid.

Journal of cellular physiology Jun 24, 2024
There is no doubt that navigating academia is a formidable challenge, particularly for those from underrepresented backgrounds who face additional barriers at every turn. In such an environment, efforts to create learning and training environments th...
Peer Group Humans Artificial Intelligence Learning Communication Mentors
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Learning sequence attractors in recurrent networks with hidden neurons.

Neural networks : the official journal of the International Neural Network Society Jun 22, 2024
The brain is targeted for processing temporal sequence information. It remains largely unclear how the brain learns to store and retrieve sequence memories. Here, we study how recurrent networks of binary neurons learn sequence attractors to store pr...
Learning Models, Neurological Neural Networks, Computer Humans Neurons Algorithms Memory Brain
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Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
The brain has computational capabilities that surpass those of modern systems, being able to solve complex problems efficiently in a simple way. Neuromorphic engineering aims to mimic biology in order to develop new systems capable of incorporating s...
Humans Neural Networks, Computer Neurons Hippocampus Computer Simulation CA3 Region, Hippocampal Memory Animals Learning Models, Neurological Action Potentials
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A neural network model for online one-shot storage of pattern sequences.

PloS one Jun 20, 2024
Based on the CRISP theory (Content Representation, Intrinsic Sequences, and Pattern completion), we present a computational model of the hippocampus that allows for online one-shot storage of pattern sequences without the need for a consolidation pro...
Models, Neurological Synapses Learning Hippocampus Neuronal Plasticity Humans Neural Networks, Computer
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GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks.

Neural networks : the official journal of the International Neural Network Society Jun 18, 2024
Reinforcement learning aided by the skill conception exhibits potent capabilities in guiding autonomous agents toward acquiring meaningful behaviors. However, in the current landscape of reinforcement learning, a skill is often merely a rudimentary a...
Robotics Cooperative Behavior Reinforcement, Psychology Algorithms Learning Humans Neural Networks, Computer
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