AIMC Topic: Neurons

Clear Filters Showing 851 to 860 of 1388 articles

Identification of piecewise linear dynamical systems using physically-interpretable neural-fuzzy networks: Methods and applications to origami structures.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2019
Self-locking origami structures are characterized by their piecewise linear constitutive relations between force and deformation, which, in practice, are always completely opaque and unmeasurable: the number of piecewise segments, the positions of no...
Neural Networks, Computer Models, Theoretical Linear Models Fuzzy Logic Neurons
View on PubMed DOI

An unsupervised neuromorphic clustering algorithm.

Biological cybernetics Apr 3, 2019
Brains perform complex tasks using a fraction of the power that would be required to do the same on a conventional computer. New neuromorphic hardware systems are now becoming widely available that are intended to emulate the more power efficient, hi...
Neural Networks, Computer Algorithms Cluster Analysis Pattern Recognition, Automated Humans Action Potentials Unsupervised Machine Learning Photic Stimulation Neurons Pattern Recognition, Visual
View on PubMed DOI

An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2019
The supervised learning methods for spiking neurons based on temporal encoding are important foundation for the development of spiking neural networks. During the learning process, the synaptic weights of a spiking neuron are adjusted to make the neu...
Synapses Time Factors Models, Neurological Supervised Machine Learning Neurons Neural Networks, Computer Action Potentials Algorithms
View on PubMed DOI

Spatial Concept Learning: A Spiking Neural Network Implementation in Virtual and Physical Robots.

Computational intelligence and neuroscience Apr 1, 2019
This paper proposes an artificial spiking neural network (SNN) sustaining the cognitive abstract process of spatial concept learning, embedded in virtual and real robots. Based on an operant conditioning procedure, the robots learn the relationship o...
Neuronal Plasticity Artificial Intelligence Humans Concept Formation Algorithms Neurons Neural Networks, Computer Models, Neurological Learning
View on PubMed DOI

A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network.

Computational intelligence and neuroscience Apr 1, 2019
In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network. The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement. This model is ...
Algorithms Neural Networks, Computer Neurons Humans Computers Artificial Intelligence Image Processing, Computer-Assisted
View on PubMed DOI

On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.

Neural networks : the official journal of the International Neural Network Society Mar 29, 2019
Outlet ferrous ion concentration is an essential indicator to manipulate the goethite process in the zinc hydrometallurgy plant. However, it cannot be measured on-line, which leads to the delay of this feedback information. In this study, a self-adju...
Feedback Minerals Ferrous Compounds Iron Compounds Neurons Neural Networks, Computer Algorithms Forecasting Metallurgy
View on PubMed DOI

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems.

Computational intelligence and neuroscience Mar 28, 2019
This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal ...
Neurons Problem Solving Algorithms Neural Networks, Computer Models, Neurological Action Potentials
View on PubMed DOI

Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

Journal of computational neuroscience Mar 20, 2019
Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been...
Neurons Nonlinear Dynamics Linear Models Biological Clocks Neural Pathways Membrane Potentials Synapses Neural Networks, Computer Algorithms Models, Neurological Humans
View on PubMed DOI

Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2019
Multicompartment emulation is an essential step to enhance the biological realism of neuromorphic systems and to further understand the computational power of neurons. In this paper, we present a hardware efficient, scalable, and real-time computing ...
Computer Simulation Computer Systems Neurons Models, Neurological Neural Networks, Computer Algorithms Computers
View on PubMed DOI

Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex.

Journal of chemical neuroanatomy Mar 2, 2019
Collection of unbiased stereology data currently relies on relatively simple, low throughput technology developed in the mid-1990s. In an effort to improve the accuracy and efficiency of these integrated hardware-software-digital microscopy systems, ...
Mice Microglia Cell Count Deep Learning Image Processing, Computer-Assisted Neocortex Neurons Histological Techniques Animals
View on PubMed DOI
Popular Topics
Recent Journals