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Classification of brain MR images using Modified version of Simplified Pulse-Coupled Neural Network and Linear Programming Twin Support Vector Machines
The automated and accurate detection of brain tumors is challenging for classifying brain Magnetic Resonance (MR) images. The conventional techniques...
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Automated Diagnosis system for detection of the pathological brain using Fast version of Simplified Pulse-Coupled Neural Network and Twin Support Vector Machine
Brain abnormalities are neurological disorders of the human nervous system that contain biochemical, electrical, and structural changes in the brain...
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Hopfield neural network with multi-scroll attractors and application in image encryption
Hopfield neural networks are favored by academia and industrial fields due to their abundant dynamics. In this paper, the dynamical behavior of a...
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Pulse coupled neural network based on Harris hawks optimization algorithm for image segmentation
Medical image segmentation is a hotspot in the field of image segmentation, and there are many segmentation methods. As a method of image...
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Intervention of light convolutional neural network in document survey form processing
Public survey is popular in different domain to have a feedback from service users in the aim to improve the quality of service provided or to figure...
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GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations
Spiking Neural Networks (SNNs) are the most common and widely used artificial neural network models in bio-inspired computing. However, SNN...
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Fractional wavelet combined with multi-scale morphology and PCNN hybrid algorithm for grayscale image fusion
Grayscale image fusion is an important part of the digital image processing field, which is important for the integration of image information. This...
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Neural connectivity inference with spike-timing dependent plasticity network
Knowing the connectivity patterns in neural circuitry is essential to understand the operating mechanism of the brain, as it allows the analysis of...
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Heterogenous image fusion model with SR-dual-channel PCNN significance region for NSST in an apple orchard
The visible light image and Time of Flight image fusion technology can effectively remedy the limitation of single orchard scene data source. The...
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Bayesian neural network enhancing reliability against conductance drift for memristor neural networks
The hardware implementation of neural networks based on memristor crossbar array provides a promising paradigm for neuromorphic computing. However,...
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Image fusion and enhancement based on energy of the pixel using Deep Convolutional Neural Network
This paper presents a novel and generic framework for the recognition of emotions using human body expression like head, hand and leg movements....
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Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application
Pulse-coupled neural network (PCNN) is a powerful unsupervised learning model with many parameters to be determined empirically. In particular, the...
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A novel visible and infrared image fusion method based on convolutional neural network for pig-body feature detection
The visible (VI) and infrared (IR) image fusion has been an active research task because of its higher segmentation accuracy rate during recent...
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Brain works principle followed by neural information processing: a review of novel brain theory
The way the brain work and its principle of work has long been a big scientific question that scientists have dreamed of solving. However, as is...
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An improved simplified PCNN model for salient region detection
As PCNN is modulated by using the pulse-coupled synaptic mechanisms, it has a great potential for image processing in a complex real-world...
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Research on fundus image registration and fusion method based on nonsubsampled contourlet and adaptive pulse coupled neural network
We present a registration and fusion method of fluorescein fundus angiography image and color fundus image which combines Nonsubsampled Contourlet...
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Construction and verification of color fundus image retinal vessels segmentation algorithm under BP neural network
For the purpose of analyzing the application of back propagation (BP) neural network model in retinal vascular segmentation of color fundus images,...
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Review of Neural Interfaces: Means for Establishing Brain–Machine Communication
Neurointerface or Brain–Machine Interface is a system of devices that utilizes the electrical nature of neural signals to establish communication...
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A modified supervised learning rule for training a photonic spiking neural network to recognize digital patterns
A modified supervised learning rule which is suitable for training photonic spiking neural networks (SNN) is proposed for the first time. The...