AIMC Topic: Action Potentials

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A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer.

International journal of neural systems Nov 1, 2025
Although a variety of deep learning-based methods have been introduced for Salient Object Detection (SOD) to RGB and Depth (RGB-D) images, existing approaches still encounter challenges, including inadequate cross-modal feature fusion, significant er...
Deep Learning Action Potentials Nonlinear Dynamics Humans Neural Networks, Computer
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Modeling Higher-Order Interactions in Sparse and Heavy-Tailed Neural Population Activity.

Neural computation Oct 10, 2025
Neurons process sensory stimuli efficiently, showing sparse yet highly variable ensemble spiking activity involving structured higher-order interactions. Notably, while neural populations are mostly silent, they occasionally exhibit highly synchronou...
Humans Neurons Models, Neurological Neural Networks, Computer Animals Nonlinear Dynamics Action Potentials Nerve Net
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Variability in reported midpoints of (in)activation of cardiac INa.

The Journal of general physiology Sep 1, 2025
Electrically active cells like cardiomyocytes show variability in their size, shape, and electrical activity. But should we expect variability in the properties of their ionic currents? In this meta-analysis, we gather and visualize measurements of t...
Sodium Channels Sodium Myocytes, Cardiac Animals Humans Action Potentials
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Implementing feature binding through dendritic networks of a single neuron.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
A single neuron receives an extensive array of synaptic inputs through its dendrites, raising the fundamental question of how these inputs undergo integration and summation, culminating in the initiation of spikes in the soma. Experimental and comput...
Purkinje Cells Nerve Net Dendrites Animals Action Potentials Neurons Neural Networks, Computer Models, Neurological Synapses Computer Simulation
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Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.

Neurobiology of disease Aug 1, 2025
Status epilepticus (SE), seizures lasting beyond five minutes, is a medical emergency commonly treated with benzodiazepines which enhance GABA receptor (GABAR) conductance. Despite widespread use, benzodiazepines fail in over one-third of patients, p...
Nerve Net Receptors, GABA-A Status Epilepticus Benzodiazepines Chlorides Animals Models, Neurological Electroencephalography Anticonvulsants Action Potentials Humans Neural Networks, Computer
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Spiking Neural Network Models of Interaural Time Difference Extraction via a Massively Collaborative Process.

eNeuro Jul 1, 2025
Neuroscientists are increasingly initiating large-scale collaborations which bring together tens to hundreds of researchers. At this scale, such projects can tackle big challenges and engage diverse participants. Inspired by projects in mathematics, ...
Neurons Animals Sound Localization Models, Neurological Humans Action Potentials Neural Networks, Computer
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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.

Journal of the American Heart Association Jul 1, 2025
BACKGROUND: Abnormal ventricular depolarization, evident as a broad QRS complex on an ECG, is traditionally categorized into left bundle-branch block (LBBB) and right bundle-branch block or nonspecific intraventricular conduction delay. This categori...
Male Middle Aged Action Potentials Unsupervised Machine Learning Electrocardiography Phenotype Female Aged Humans Dimensionality Reduction Heart Ventricles Bundle-Branch Block
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Ternary spike-based neuromorphic signal processing system.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Deep Neural Networks (DNNs) have been successfully implemented across various signal processing fields, resulting in significant enhancements in performance. However, DNNs generally require substantial computational resources, leading to significant ...
Electroencephalography Signal Processing, Computer-Assisted Algorithms Neurons Speech Humans Action Potentials Neural Networks, Computer
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Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis.

International journal of neural systems Jun 1, 2025
Extracellular recordings of neuronal spikes are crucial for studying brain activity. These signals are typically classified based on firing patterns and waveform shape, particularly trough-to-peak duration. While useful, this method oversimplifies th...
Neurons Humans Visual Cortex Machine Learning Action Potentials Signal Processing, Computer-Assisted
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A mean field theory for pulse-coupled neural oscillators based on the spike time response curve.

Journal of neurophysiology Jun 1, 2025
A mean field method for pulse-coupled oscillators with delays used a self-connected oscillator to represent a synchronous cluster of - 1 oscillators and a single oscillator assumed to be perturbed from the cluster. A periodic train of biexponential ...
Interneurons Action Potentials Animals Neurons Neural Networks, Computer Models, Neurological Nerve Net
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