AIMC Topic: Learning

Clear Filters Showing 401 to 410 of 1397 articles

Learning long-term motor timing/patterns on an orthogonal basis in random neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2023
The ability of the brain to generate complex spatiotemporal patterns with specific timings is essential for motor learning and temporal processing. An approach that can model this function, using the spontaneous activity of a random neural network (R...
Learning Time Factors Brain Neural Networks, Computer Nerve Net
View on PubMed DOI

Multifidelity Neural Network Formulations for Prediction of Reactive Molecular Potential Energy Surfaces.

Journal of chemical information and modeling Apr 12, 2023
This paper focuses on the development of multifidelity modeling approaches using neural network surrogates, where training data arising from multiple model forms and resolutions are integrated to predict high-fidelity response quantities of interest ...
Learning Computer Simulation Neural Networks, Computer
View on PubMed DOI

Lifelong learning with Shared and Private Latent Representations learned through synaptic intelligence.

Neural networks : the official journal of the International Neural Network Society Apr 11, 2023
This paper explores a novel lifelong learning method with Shared and Private Latent Representations (SPLR), which are learned through synaptic intelligence. To solve a sequence of tasks, by considering the entire parameter learning trajectory, SPLR c...
Intelligence Machine Learning Learning Education, Continuing
View on PubMed DOI

Gait-CNN-ViT: Multi-Model Gait Recognition with Convolutional Neural Networks and Vision Transformer.

Sensors (Basel, Switzerland) Apr 7, 2023
Gait recognition, the task of identifying an individual based on their unique walking style, can be difficult because walking styles can be influenced by external factors such as clothing, viewing angle, and carrying conditions. To address these chal...
Gait Models, Biological Learning Machine Learning Neural Networks, Computer
View on PubMed DOI

Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving.

Nature neuroscience Apr 6, 2023
Learning-to-learn, a progressive speedup of learning while solving a series of similar problems, represents a core process of knowledge acquisition that draws attention in both neuroscience and artificial intelligence. To investigate its underlying b...
Neural Networks, Computer Learning Prefrontal Cortex Brain Artificial Intelligence
View on PubMed DOI

Meta-learning biologically plausible plasticity rules with random feedback pathways.

Nature communications Mar 31, 2023
Backpropagation is widely used to train artificial neural networks, but its relationship to synaptic plasticity in the brain is unknown. Some biological models of backpropagation rely on feedback projections that are symmetric with feedforward connec...
Brain Learning Neural Networks, Computer Neuronal Plasticity Models, Neurological Feedback
View on PubMed DOI

CNN-based search model fails to account for human attention guidance by simple visual features.

Attention, perception & psychophysics Mar 28, 2023
Recently, Zhang et al. (Nature communications, 9(1), 3730, 2018) proposed an interesting model of attention guidance that uses visual features learnt by convolutional neural networks (CNNs) for object classification. I adapted this model for search e...
Neural Networks, Computer Learning Humans
View on PubMed DOI

The rise of ChatGPT: Exploring its potential in medical education.

Anatomical sciences education Mar 28, 2023
The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical sciences. Large language models, such as ChatGPT, can serve as virtual teaching assistants, providing st...
Computer-Assisted Instruction Education, Medical Anatomy Curriculum Artificial Intelligence Students, Medical Humans Learning
View on PubMed DOI

Online continual learning with declarative memory.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2023
Deep neural networks are enjoying unprecedented attention and success in recent years. However, catastrophic forgetting undermines the performance of deep models when the training data are arrived sequentially in an online multi-task learning fashion...
Learning Neural Networks, Computer Machine Learning Mental Recall Humans Cognition
View on PubMed DOI

Artificial Intelligence-based online platform assists blood cell morphology learning: A mixed-methods sequential explanatory designed research.

Medical teacher Mar 27, 2023
BACKGROUND: The study aimed to evaluate the effectiveness of learning blood cell morphology by learning on our Artificial intelligence (AI)-based online platform.
Humans Learning Artificial Intelligence Microscopy Blood Cells Students, Medical
View on PubMed DOI
Popular Topics
Recent Journals