AIMC Topic: Neurons

Clear Filters Showing 431 to 440 of 1388 articles

Switching pinning control for memristive neural networks system with Markovian switching topologies.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2022
This work concentrates on the issue of leader-following bipartite synchronization of multiple memristive neural networks with Markovian jump topology. In contrast to conventional coupled neural network systems, the coupled neural network model under ...
Neural Networks, Computer Algorithms Computer Simulation Neurons
View on PubMed DOI

Biologically plausible single-layer networks for nonnegative independent component analysis.

Biological cybernetics Sep 7, 2022
An important problem in neuroscience is to understand how brains extract relevant signals from mixtures of unknown sources, i.e., perform blind source separation. To model how the brain performs this task, we seek a biologically plausible single-laye...
Neural Networks, Computer Algorithms Brain Learning Neurons
View on PubMed DOI

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex.

PLoS computational biology Sep 6, 2022
Convolutional neural networks trained on object recognition derive inspiration from the neural architecture of the visual system in mammals, and have been used as models of the feedforward computation performed in the primate ventral stream. In contr...
Neural Networks, Computer Animals Mice Neurons Mammals Visual Perception Visual Cortex
View on PubMed DOI

Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus.

eLife Sep 5, 2022
Local field potential (LFP) deflections and oscillations define hippocampal sharp-wave ripples (SWRs), one of the most synchronous events of the brain. SWRs reflect firing and synaptic current sequences emerging from cognitively relevant neuronal ens...
Animals Deep Learning Neurons Hippocampus Rodentia
View on PubMed DOI

Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification.

IEEE transactions on neural networks and learning systems Aug 31, 2022
This work proposes a decision tree (DT)-based method for initializing a dendritic neuron model (DNM). Neural networks become larger and larger, thus consuming more and more computing resources. This calls for a strong need to prune neurons that do no...
Neural Networks, Computer Algorithms Support Vector Machine Decision Trees Neurons
View on PubMed DOI

CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.

IEEE transactions on neural networks and learning systems Aug 31, 2022
The cerebellum plays a vital role in motor learning and control with supervised learning capability, while neuromorphic engineering devises diverse approaches to high-performance computation inspired by biological neural systems. This article present...
Neural Networks, Computer Brain Models, Neurological Neurons Cerebellum
View on PubMed DOI

Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Perturbation has a positive effect, as it contributes to the stability of neural systems through adaptation and robustness. For example, deep reinforcement learning generally engages in exploratory behavior by injecting noise into the action space an...
Neural Networks, Computer Algorithms Models, Neurological Neurons
View on PubMed DOI

A Comprehensive Quantitative and Biological Neural Network Optimization Model of Sports Industry Structure Based on Knowledge Mapping.

Computational intelligence and neuroscience Aug 29, 2022
In this paper, a comprehensive quantitative and biological neural network optimization model of sports industry structure is thoroughly studied and analyzed using knowledge graphs. To address the problems of poor performance interpretability deficien...
Neural Networks, Computer Algorithms Neurons Knowledge Bases
View on PubMed DOI

Large-Scale Neural Networks With Asymmetrical Three-Ring Structure: Stability, Nonlinear Oscillations, and Hopf Bifurcation.

IEEE transactions on cybernetics Aug 18, 2022
A large number of experiments have proved that the ring structure is a common phenomenon in neural networks. Nevertheless, a few works have been devoted to studying the neurodynamics of networks with only one ring. Little is known about the dynamics ...
Neural Networks, Computer Algorithms Computer Simulation Neurons
View on PubMed DOI

Brain-inspired chaotic backpropagation for MLP.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2022
Backpropagation (BP) algorithm is one of the most basic learning algorithms in deep learning. Although BP has been widely used, it still suffers from the problem of easily falling into the local minima due to its gradient dynamics. Inspired by the fa...
Neural Networks, Computer Algorithms Brain Neurons
View on PubMed DOI
Popular Topics
Recent Journals