AIMC Topic: Computer Simulation

Clear Filters Showing 391 to 400 of 3963 articles

Bipartite secure synchronization criteria for coupled quaternion-valued neural networks with signed graph.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2024
This study explores the bipartite secure synchronization problem of coupled quaternion-valued neural networks (QVNNs), in which variable sampled communications and random deception attacks are considered. Firstly, by employing the signed graph theory...
Computer Simulation Computer Security Neural Networks, Computer Algorithms
View on PubMed DOI

Oscillations in an artificial neural network convert competing inputs into a temporal code.

PLoS computational biology Sep 11, 2024
The field of computer vision has long drawn inspiration from neuroscientific studies of the human and non-human primate visual system. The development of convolutional neural networks (CNNs), for example, was informed by the properties of simple and ...
Computer Simulation Animals Computational Biology Neural Networks, Computer Machine Learning Visual Cortex Models, Neurological Neurons Humans
View on PubMed DOI

Deep brain stimulation and lag synchronization in a memristive two-neuron network.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
In the pursuit of potential treatments for neurological disorders and the alleviation of patient suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate pathological neural activities. To explore the exact mechanism of h...
Action Potentials Neurons Computer Simulation Humans Nonlinear Dynamics Neuronal Plasticity Deep Brain Stimulation Neural Networks, Computer Synapses Models, Neurological
View on PubMed DOI

A multiscale distributed neural computing model database (NCMD) for neuromorphic architecture.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
Distributed neuromorphic architecture is a promising technique for on-chip processing of multiple tasks. Deploying the constructed model in a distributed neuromorphic system, however, remains time-consuming and challenging due to considerations such ...
Artificial Intelligence Action Potentials Databases, Factual Neurons Brain Computer Simulation Humans Synapses Models, Neurological Neural Networks, Computer
View on PubMed DOI

Moving sampling physics-informed neural networks induced by moving mesh PDE.

Neural networks : the official journal of the International Neural Network Society Sep 10, 2024
In this work, we propose an end-to-end adaptive sampling framework based on deep neural networks and the moving mesh method (MMPDE-Net), which can adaptively generate new sampling points by solving the moving mesh PDE. This model focuses on improving...
Algorithms Neural Networks, Computer Computer Simulation Deep Learning
View on PubMed DOI

Multistability and fixed-time multisynchronization of switched neural networks with state-dependent switching rules.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2024
This paper presents theoretical results on the multistability and fixed-time synchronization of switched neural networks with multiple almost-periodic solutions and state-dependent switching rules. It is shown herein that the number, location, and st...
Neurons Neural Networks, Computer Algorithms Time Factors Models, Neurological Computer Simulation
View on PubMed DOI

Computer-Simulated Virtual Image Datasets to Train Machine Learning Models for Non-Invasive Fish Detection in Recirculating Aquaculture.

Sensors (Basel, Switzerland) Sep 7, 2024
Artificial Intelligence (AI) and Machine Learning (ML) can assist producers to better manage recirculating aquaculture systems (RASs). ML is a data-intensive process, and model performance primarily depends on the quality of training data. Relatively...
Machine Learning Computer Simulation Image Processing, Computer-Assisted Aquaculture Animals Artificial Intelligence Fishes
View on PubMed DOI

In silico assessments of the small molecular boron agents to pave the way for artificial intelligence-based boron neutron capture therapy.

European journal of medicinal chemistry Sep 6, 2024
Boron neutron capture therapy (BNCT) is a highly targeted, selective and effective technique to cure various types of cancers, with less harm to the healthy cells. In principle, BNCT treatment needs to distribute the boron (B) atoms inside the tumor ...
Humans Artificial Intelligence Ligands Molecular Docking Simulation Small Molecule Libraries Molecular Structure Boron Neutron Capture Therapy Molecular Dynamics Simulation Computer Simulation Boron Compounds Boron Neoplasms
View on PubMed DOI

Sampled-data synchronization for fuzzy inertial cellular neural networks and its application in secure communication.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2024
This paper designs the sampled-data control (SDC) scheme to delve into the synchronization problem of fuzzy inertial cellular neural networks (FICNNs). Technically, the rate at which the information or activation of cellular neuronal transmission mad...
Communication Fuzzy Logic Computer Security Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation Humans
View on PubMed DOI

Pretrainable geometric graph neural network for antibody affinity maturation.

Nature communications Sep 6, 2024
Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity...
Computer Simulation Antibodies Deep Learning Antigens Protein Binding Enzyme-Linked Immunosorbent Assay Humans Antibody Affinity Models, Molecular Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals