AIMC Topic: Action Potentials

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Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity.

Nature communications Jul 1, 2025
Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. Neuromorphic electronic circuits represent a promising approach for implementing the brain's comp...
Humans Neural Networks, Computer Models, Neurological Action Potentials Neurons Nerve Net Brain Animals Neuronal Plasticity
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Neurons throughout the brain embed robust signatures of their anatomical location into spike trains.

eLife Jun 27, 2025
Neurons in the brain are known to encode diverse information through their spiking activity, primarily reflecting external stimuli and internal states. However, whether individual neurons also embed information about their own anatomical location wit...
Machine Learning Brain Animals Male Mice Models, Neurological Mice, Inbred C57BL Action Potentials Neurons
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.

eLife Jun 16, 2025
The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. Evidence suggests that spontaneous brain activity gives such a model by cycling through activity patterns evoked by pr...
Macaca mulatta Neurons Cerebral Cortex Nerve Net Models, Neurological Action Potentials Learning Animals
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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...
Humans Animals Models, Neurological Touch Perception Mechanoreceptors Action Potentials Neurons Touch
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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...
Nerve Net Neural Networks, Computer Neural Inhibition Computer Simulation Neurons Models, Neurological Humans Spinal Cord Action Potentials Locomotion
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Network models incorporating chloride dynamics predict optimal strategies for terminating status epilepticus.

Neurobiology of disease May 20, 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 Anticonvulsants Benzodiazepines Neural Networks, Computer Chlorides Animals Humans Models, Neurological Action Potentials Electroencephalography
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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...
Machine Learning Phenotype Female Male Middle Aged Aged Adult Humans Heart Conduction System Action Potentials Myocardial Ischemia Heart Rate Obesity Predictive Value of Tests Electrocardiography Sex Factors Signal Processing, Computer-Assisted Age Factors Magnetic Resonance Imaging
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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...
Optogenetics Neural Networks, Computer Parvalbumins Animals Action Potentials Auditory Cortex Neuronal Plasticity Mice Neurons Nerve Net Models, Neurological Auditory Perception
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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 Action Potentials Microelectrodes Animals Neurons Bicuculline 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...
Predictive Value of Tests Arrhythmias, Cardiac Heart Rate Models, Cardiovascular Deep Learning Electrocardiography Action Potentials Humans Body Surface Potential Mapping Computer Simulation Neural Networks, Computer Electrophysiologic Techniques, Cardiac Reproducibility of Results
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