AIMC Topic: Neural Networks, Computer

Clear Filters Showing 2891 to 2900 of 31376 articles

CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Spiking neural networks (SNNs) mimic their biological counterparts more closely than their predecessors and are considered the third generation of artificial neural networks. It has been proven that networks of spiking neurons have a higher computati...
Action Potentials Algorithms Pattern Recognition, Automated Neuronal Plasticity Humans Neurons Models, Neurological Neural Networks, Computer
View on PubMed DOI

Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Sensory information transmitted to the brain activates neurons to create a series of coping behaviors. Understanding the mechanisms of neural computation and reverse engineering the brain to build intelligent machines requires establishing a robust r...
Retina Algorithms Brain-Computer Interfaces Visual Perception Humans Action Potentials Photic Stimulation Neural Networks, Computer
View on PubMed DOI

Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Transfer learning is one of the popular methods to solve the problem of insufficient data in subject-specific electroencephalogram (EEG) recognition tasks. However, most existing approaches ignore the difference between subjects and transfer the same...
Neural Networks, Computer Seizures Deep Learning Algorithms Pattern Recognition, Automated Electroencephalography Humans Databases, Factual Imagination
View on PubMed DOI

KL-DNAS: Knowledge Distillation-Based Latency Aware-Differentiable Architecture Search for Video Motion Magnification.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Video motion magnification is the task of making subtle minute motions visible. Many times subtle motion occurs while being invisible to the naked eye, e.g., slight deformations in muscles of an athlete, small vibrations in the objects, microexpressi...
Humans Neural Networks, Computer Motion Video Recording Algorithms
View on PubMed DOI

Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Since digital spiking signals can carry rich information and propagate with low computational consumption, spiking neural networks (SNNs) have received great attention from neuroscientists and are regarded as the future development object of neural n...
Models, Neurological Action Potentials Synapses Neurons Algorithms Computer Simulation Humans Animals Neural Networks, Computer
View on PubMed DOI

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called ...
Pattern Recognition, Automated Human Activities Wearable Electronic Devices Unsupervised Machine Learning Neural Networks, Computer Supervised Machine Learning Humans Algorithms
View on PubMed DOI

Tuned Compositional Feature Replays for Efficient Stream Learning.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Our brains extract durable, generalizable knowledge from transient experiences of the world. Artificial neural networks come nowhere close to this ability. When tasked with learning to classify objects by training on nonrepeating video frames in temp...
Learning Memory Neural Networks, Computer Algorithms Humans
View on PubMed DOI

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for computational applications in medicine. Using genomic data to identify disease-associated genes to estimate cancer mortality risk remains challenging...
Humans Neural Networks, Computer Risk Assessment Genomics Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Neoplasms Deep Learning Fuzzy Logic High-Throughput Nucleotide Sequencing
View on PubMed DOI

Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Spiking neural networks (SNNs) are the basis for many energy-efficient neuromorphic hardware systems. While there has been substantial progress in SNN research, artificial SNNs still lack many capabilities of their biological counterparts. In biologi...
Neurons Memory Computer Simulation Humans Learning Neural Networks, Computer Models, Neurological Neuronal Plasticity Machine Learning Action Potentials
View on PubMed DOI

Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging.

IEEE transactions on neural networks and learning systems Feb 6, 2025
In clinical practice, computed tomography (CT) is an important noninvasive inspection technology to provide patients' anatomical information. However, its potential radiation risk is an unavoidable problem that raises people's concerns. Recently, dee...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Physics Federated Learning Tomography, X-Ray Computed Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals