AIMC Topic: Action Potentials

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Bio-Inspired spiking tactile sensing system for robust texture recognition across varying scanning speeds in passive touch.

Biological cybernetics Jun 14, 2025
Tactile sensing plays a crucial role in texture recognition, but variations in scanning speed pose a significant challenge for accurate discrimination. Previous studies have demonstrated that scanning speed alters the frequency of texture-induced vib...
Mechanoreceptors Neurons Touch Touch Perception Humans Animals Models, Neurological Action Potentials
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Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics Jun 4, 2025
During walking and running, animals display rich and coordinated motor patterns that are generated and controlled within the central nervous system. Previous computational and experimental results suggest that the balance between excitation and inhib...
Computer Simulation Models, Neurological Action Potentials Neurons Spinal Cord Locomotion Humans Neural Networks, Computer Nerve Net Neural Inhibition
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Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.

Nature cardiovascular research May 16, 2025
Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying biological mechanisms. Cardiac digital twins (CDTs) are personalized physics-constrained and physiology-constrained in silico representations, uncoverin...
Sex Factors Myocardial Ischemia Signal Processing, Computer-Assisted Heart Conduction System Heart Rate Action Potentials Obesity Predictive Value of Tests Aged Adult Male Age Factors Magnetic Resonance Imaging Middle Aged Electrocardiography Machine Learning Phenotype Female Humans
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Parvalbumin neurons and cortical coding of dynamic stimuli: a network model.

Journal of neurophysiology May 13, 2025
Cortical circuits feature both excitatory and inhibitory cells that underlie the encoding of dynamic sensory stimuli, e.g., speech, music, odors, and natural scenes. Although previous studies have shown that inhibition plays an important role in shap...
Neural Networks, Computer Animals Action Potentials Neurons Auditory Cortex Nerve Net Mice Neuronal Plasticity Models, Neurological Auditory Perception Optogenetics Parvalbumins
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Machine learning and complex network analysis of drug effects on neuronal microelectrode biosensor data.

Scientific reports Apr 30, 2025
Biosensors, such as microelectrode arrays that record in vitro neuronal activity, provide powerful platforms for studying neuroactive substances. This study presents a machine learning workflow to analyze drug-induced changes in neuronal biosensor da...
Nerve Net Rats Machine Learning Microelectrodes Action Potentials Animals Bicuculline Neurons Biosensing Techniques
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem.

BMC cardiovascular disorders Apr 28, 2025
BACKGROUND: The risk stratification and prognosis of cardiac arrhythmia depend on the individual condition of patients, while invasive diagnostic methods may be risky to patient health, and current non-invasive diagnostic methods are applicable to fe...
Action Potentials Humans Predictive Value of Tests Neural Networks, Computer Arrhythmias, Cardiac Computer Simulation Electrophysiologic Techniques, Cardiac Reproducibility of Results Heart Rate Deep Learning Models, Cardiovascular Electrocardiography Body Surface Potential Mapping
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Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers.

Neural networks : the official journal of the International Neural Network Society Apr 23, 2025
Linking cellular-level phenomena to brain architecture and behavior is a holy grail for theoretical and computational neuroscience. Advances in neuroinformatics have recently allowed scientists to embed spiking neural networks of the cerebellum with ...
Cerebellum Nerve Net Learning Animals Neuronal Plasticity Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Algorithms
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Heterogeneous quantization regularizes spiking neural network activity.

Scientific reports Apr 23, 2025
The learning and recognition of object features from unregulated input has been a longstanding challenge for artificial intelligence systems. Brains, on the other hand, are adept at learning stable sensory representations given noisy observations, a ...
Nerve Net Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Animals
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SpikeCLIP: A contrastive language-image pretrained spiking neural network.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2025
Spiking Neural Networks (SNNs) have emerged as a promising alternative to conventional Artificial Neural Networks (ANNs), demonstrating comparable performance in both visual and linguistic tasks while offering the advantage of improved energy efficie...
Neural Networks, Computer Algorithms Language Humans Models, Neurological Action Potentials Neurons
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Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification.

Neural networks : the official journal of the International Neural Network Society Apr 7, 2025
Spiking neural networks (SNNs) for event-based optical flow are claimed to be computationally more efficient than their artificial neural networks (ANNs) counterparts, but a fair comparison is missing in the literature. In this work, we propose an ev...
Neural Networks, Computer Algorithms Action Potentials Neurons
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