Results 11 to 20 of about 64,361 (214)

Optimized Model Selection for Concurrent Decoding of Finger Kinetics and Kinematics

IEEE Access, 2023
Myoelectric-based motor intent detection is typically used to interface with assistive devices. However, the intent detection performance is sensitive to interference of electromyogram (EMG) signals. Recently, EMG signals are decomposed into motor units (
Rinku Roy, Derek G. Kamper, Xiaogang Hu
doaj   +1 more source

Analysis of a map-based neuronal model

Journal of Difference Equations and Applications, 2020
Subthreshold oscillations in neurons are those oscillations which do not attain the critical value of the membrane's voltage needed for triggering an action potential (a spike). Their contribution to the forming of action potentials in neurons is a current field of research in biology.
Tigan, G., Efrem, R.
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Objective Supervised Machine Learning-Based Classification and Inference of Biological Neuronal Networks

Molecules, 2022
The classification of biological neuron types and networks poses challenges to the full understanding of the human brain’s organisation and functioning.
Michael Taynnan Barros, Harun Siljak, Peter Mullen, Constantinos Papadias, Jari Hyttinen, Nicola Marchetti   +5 more
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The Impact of Higher-Order Interactions on the Synchronization of Hindmarsh–Rose Neuron Maps under Different Coupling Functions

Mathematics, 2023
In network analysis, links depict the connections between each pair of network nodes. However, such pairwise connections fail to consider the interactions among more agents, which may be indirectly connected. Such non-pairwise or higher-order connections
Mahtab Mehrabbeik, Atefeh Ahmadi, Fatemeh Bakouie, Amir Homayoun Jafari, Sajad Jafari, Dibakar Ghosh   +5 more
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Understanding a Deep Neural Network Based on Neural-Path Coding

IEEE Access, 2020
Recently, the deep neural network has achieved considerable success in the field of machine learning. However, for most tasks, the current neural network models are still considered as the “black-box” structure, essentially because the ...
Dawei Dai, Chengfu Tang, Dongyao Zhao, Shuyin Xia, Haoyue Bai   +4 more
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Non-Uniform Input-Based Adaptive Growing Neural Gas for Unstructured Environment Map Construction

Applied Sciences, 2022
The research and development of special robots such as excavation robots is an important way to achieve safe and efficient production in coal mines.
Suyu Wang, Ze Ren, Miao Wu
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Automatic Extraction of Road Networks by Using Teacher–Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
An adaptive structural learning method of restricted Boltzmann machine (RBM) and deep belief network (DBN) has been developed as one of prominent deep learning models.
Shin Kamada, Takumi Ichimura
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Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and explainable AI

NeuroImage, 2023
Cerebral cortical representation of motor kinematics is crucial for understanding human motor behavior, potentially extending to efficient control of the brain-computer interface.
HongJune Kim, June Sic Kim, Chun Kee Chung   +2 more
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Asynchronous Branch-Parallel Simulation of Detailed Neuron Models

Frontiers in Neuroinformatics, 2019
Simulations of electrical activity of networks of morphologically detailed neuron models allow for a better understanding of the brain. State-of-the-art simulations describe the dynamics of ionic currents and biochemical processes within branching ...
Bruno R. C. Magalhães, Thomas Sterling, Michael Hines, Felix Schürmann   +3 more
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A simple one-dimensional map-based model of spiking neurons with wide ranges of firing rates and complexities

Journal of Theoretical Biology, 2022
This paper introduces a simple 1-dimensional map-based model of spiking neurons. During the past decades, dynamical models of neurons have been used to investigate the biology of human nervous systems. The models simulate experimental records of neurons' voltages using difference or differential equations.
Alireza, Bahramian, Ramadoss, Janarthanan, Nazarimehr, Fahimeh, Rajagopal, Karthikeyan, Jafari, Sajad, Hussain, Iqtadar   +5 more
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