AIMC Topic: Neurons

Clear Filters Showing 561 to 570 of 1388 articles

Stochastic Spiking Behavior in Neuromorphic Networks Enables True Random Number Generation.

ACS applied materials & interfaces Nov 1, 2021
There is currently a great deal of interest in the use of nanoscale devices to emulate the behaviors of neurons and synapses and to facilitate brain-inspired computation. Here, it is shown that percolating networks of nanoparticles exhibit stochastic...
Neurons Synapses Brain Neural Networks, Computer
View on PubMed DOI

Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction.

International journal of neural systems Oct 28, 2021
Echo state networks (ESNs), belonging to the family of recurrent neural networks (RNNs), are suitable for addressing complex nonlinear tasks due to their rich dynamic characteristics and easy implementation. The reservoir of the ESN is composed of a ...
Time Factors Neural Networks, Computer Neurons
View on PubMed DOI

Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection.

Sensors (Basel, Switzerland) Oct 25, 2021
This research is aimed to detect defects on the surface of the fabric and deep learning model optimization. Since defect detection cannot effectively solve the fabric with complex background by image processing, this research uses deep learning to id...
Image Processing, Computer-Assisted Bayes Theorem Algorithms Neurons Neural Networks, Computer
View on PubMed DOI

CMOS Implementation of ANNs Based on Analog Optimization of N-Dimensional Objective Functions.

Sensors (Basel, Switzerland) Oct 25, 2021
The design of neural network architectures is carried out using methods that optimize a particular objective function, in which a point that minimizes the function is sought. In reported works, they only focused on software simulations or commercial ...
Neural Networks, Computer Neurons Algorithms Oxides Semiconductors
View on PubMed DOI

IC neuron: An efficient unit to construct neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2021
As a popular machine learning method, neural networks can be used to solve many complex tasks. Their strong generalization ability comes from the representation ability of the basic neuron models. The most popular neuron model is the McCulloch-Pitts ...
Neural Networks, Computer Generalization, Psychological Neurons
View on PubMed DOI

Decoding Interaction Patterns from the Chemical Sequence of Polymers Using Neural Networks.

ACS macro letters Oct 11, 2021
The relation between chemical sequences and the properties of polymers is considered using artificial neural networks with a low-dimensional bottleneck layer of neurons. These encoder-decoder architectures may compress the input information into a me...
Semantics Polymers Neural Networks, Computer Entropy Neurons
View on PubMed DOI

The information theory of developmental pruning: Optimizing global network architectures using local synaptic rules.

PLoS computational biology Oct 11, 2021
During development, biological neural networks produce more synapses and neurons than needed. Many of these synapses and neurons are later removed in a process known as neural pruning. Why networks should initially be over-populated, and the processe...
Information Theory Synapses Nerve Net Neural Networks, Computer Computational Biology Neurons Animals Algorithms Humans Models, Neurological
View on PubMed DOI

Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2021
Spiking Neural Networks (SNNs) have recently emerged as a new generation of low-power deep neural networks due to sparse, asynchronous, and binary event-driven processing. Most previous deep SNN optimization methods focus on static datasets (e.g., MN...
Entropy Neurons Neural Networks, Computer Knowledge Vision, Ocular
View on PubMed DOI

In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks.

Nature materials Oct 4, 2021
Neuromorphic computing aims at the realization of intelligent systems able to process information similarly to our brain. Brain-inspired computing paradigms have been implemented in crossbar arrays of memristive devices; however, this approach does n...
Brain Neural Networks, Computer Nonlinear Dynamics Nanowires Neurons
View on PubMed DOI

Extreme neural machines.

Neural networks : the official journal of the International Neural Network Society Oct 1, 2021
Recurrent neural networks can solve a variety of computational tasks and produce patterns of activity that capture key properties of brain circuits. However, learning rules designed to train these models are time-consuming and prone to inaccuracies w...
Models, Neurological Neurons Action Potentials Neural Networks, Computer Learning
View on PubMed DOI
Popular Topics
Recent Journals