AIMC Topic: Action Potentials

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High-performance deep spiking neural networks via at-most-two-spike exponential coding.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2024
Spiking neural networks (SNNs) provide necessary models and algorithms for neuromorphic computing. A popular way of building high-performance deep SNNs is to convert ANNs to SNNs, taking advantage of advanced and well-trained ANNs. Here we propose an...
Humans Neural Networks, Computer Algorithms Models, Neurological Action Potentials Neurons
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FPGA-based fast bin-ratio spiking ensemble network for radioisotope identification.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2024
In this work, we demonstrate the training, conversion, and implementation flow of an FPGA-based bin-ratio ensemble spiking neural network applied for radioisotope identification. The combination of techniques including learned step quantisation (LSQ)...
Radioisotopes Algorithms Action Potentials Neurons Humans Neural Networks, Computer
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Classification Method of ECG Signals Based on RANet.

Cardiovascular engineering and technology Apr 23, 2024
BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health and are widely used to detect different types of arrhythmias.
Electrocardiography Action Potentials Predictive Value of Tests Diagnosis, Computer-Assisted Deep Learning Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Humans Neural Networks, Computer Databases, Factual Reproducibility of Results
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Multi-scale full spike pattern for semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2024
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to artificial neural networks (ANNs) due to their sparse and event-drive...
Algorithms Action Potentials Deep Learning Neurons Models, Neurological Humans Semantics Neural Networks, Computer
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Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers.

International journal of neural systems Apr 13, 2024
Most existing multi-scale object detectors depend on multi-level feature maps. The Feature Pyramid Networks (FPN) is a significant architecture for object detection that utilizes these multi-level feature maps. However, the use of FPN also increases ...
Humans Neural Networks, Computer Models, Neurological Neurons Action Potentials
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Bridges Between Spiking Neural Membrane Systems and Virus Machines.

International journal of neural systems Apr 13, 2024
Spiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an...
Humans Neural Networks, Computer Computer Simulation Action Potentials Animals Models, Neurological Neurons
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Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.

eLife Apr 10, 2024
Computer models of the human ventricular cardiomyocyte action potential (AP) have reached a level of detail and maturity that has led to an increasing number of applications in the pharmaceutical sector. However, interfacing the models with experimen...
Biological Assay Myocytes, Cardiac Computer Simulation Action Potentials Humans Neural Networks, Computer
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Empirical modeling and prediction of neuronal dynamics.

Biological cybernetics Apr 10, 2024
Mathematical modeling of neuronal dynamics has experienced a fast growth in the last decades thanks to the biophysical formalism introduced by Hodgkin and Huxley in the 1950s. Other types of models (for instance, integrate and fire models), although ...
Humans Models, Neurological Action Potentials Neurons Neural Networks, Computer Computer Simulation Animals
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Modular Spiking Neural Membrane Systems for Image Classification.

International journal of neural systems Mar 8, 2024
A variant of membrane computing models called Spiking Neural P systems (SNP systems) closely mimics the structure and behavior of biological neurons. As third-generation neural networks, SNP systems have flexible architectures allowing the design of ...
Models, Neurological Neurons Humans Action Potentials Machine Learning Flowers Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal of cardiovascular electrophysiology Mar 4, 2024
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to e...
Catheter Ablation Time-to-Treatment Electrophysiologic Techniques, Cardiac Female Fluoroscopy Arrhythmias, Cardiac Aged Humans Operative Time Electrocardiography Heart Rate Male Predictive Value of Tests Middle Aged Artificial Intelligence Treatment Outcome Case-Control Studies Retrospective Studies Action Potentials Time Factors
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