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Snn and sound: a comprehensive review of spiking neural networks in sound
The rapid advancement of AI and machine learning has significantly enhanced sound and acoustic recognition technologies, moving beyond traditional...
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Ventral tegmental area deep brain stimulation reverses ethanol-induced dopamine increase in the rat nucleus accumbens
The neurophysiology of alcohol use disorder (AUD) is complex, but a major contributor to addictive phenotypes is the tendency for drugs of abuse to...
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Computational analysis on 3D airway model of obstructive sleep apnea patient for optimal maxillomandibular advancement
Obstructive sleep apnea (OSA) can have many adverse effects on people’s health, including cognitive decline and high blood pressure. Typical surgical...
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Spiking neural networks for biomedical signal analysis
Artificial intelligence (AI) has had a significant impact on human life because of its pervasiveness across industries and its rapid development....
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Spiking neural networks for physiological and speech signals: a review
The integration of Spiking Neural Networks (SNNs) into the analysis and interpretation of physiological and speech signals has emerged as a...
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Synthetic CT generation based on multi-sequence MR using CycleGAN for head and neck MRI-only planning
The purpose of this study is to investigate the influence of different magnetic resonance (MR) sequences on the accuracy of generating computed...
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Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives
In this paper, a comprehensive exploration is undertaken to elucidate the utilization of Spiking Neural Networks (SNNs) within the biomedical domain....
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Behavior of jittering potential before and after impulse blockings: a preliminary study in myasthenia gravis
Neuromuscular junction disorders lead to secession of bioelectrical activity transmission between motor nerve endings and muscle fibers. In diseases...
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Review on spiking neural network-based ECG classification methods for low-power environments
This paper reviews arrhythmia classification studies using electrocardiogram (ECG) signals. Research on automatically diagnosing arrhythmia in daily...
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Macrophage membrane coated discoidal polymeric particles for evading phagocytosis
The purpose of this study was to investigate the potential of discoidal polymeric particles (DPPs) coated with macrophage membranes as a novel drug...
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Pixel-based small-window parametric ultrasound imaging for liver tumor characterization
PurposeCharacterizing liver tumors remains a challenge in clinical practice. Ultrasound parametric imaging based on statistical distribution can...
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Dual-mode optical projection map** system: integration of laser speckle contrast and subcutaneous vein imaging
Dual-mode optical imaging can simultaneously provide morphological and functional information. Furthermore, it can be integrated with projection...
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Cross-domain additive learning of new knowledge rather than replacement
In medical clinical scenarios for reasons such as patient privacy, information protection and data migration, when domain adaptation is needed for...
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Unsupervised spike sorting for multielectrode arrays based on spike shape features and location methods
Microelectrode arrays (MEAs) enable simultaneous measurement of spike trains from numerous neurons, owing to advancements in microfabrication...
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GT-Net: global transformer network for multiclass brain tumor classification using MR images
Multiclass classification of brain tumors from magnetic resonance (MR) images is challenging due to high inter-class similarities. To this end,...
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Development of nanogap-rich hybrid gold nanostructures by use of two non-lithographic deposition techniques for a sensitive and reliable SERS biosensor
Practical application of surface-enhanced Raman spectroscopy (SERS) has suffered from several limitations by heterogeneous distribution of hot-spots,...
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Prediction of prognosis in supramalleolar osteotomy with or without additional fibula osteotomy by approaching a biomechanical study: a finite element analysis
Supramalleolar osteotomy (SMO) is a representative procedure to restore a malalignment in the varus ankle deformity by shifting the concentrated...
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Strategy for develo** a speech recognition model specialized for patients with depression or Parkinson’s disease with small size speech database
Most of speech recognition models currently in use have been dealt with speech of normal people. The speech recognition rate for patients with...
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Semi-supervised CT image segmentation via contrastive learning based on entropy constraints
Deep learning-based methods for fast target segmentation of computed tomography (CT) imaging have become increasingly popular. The success of current...
