AIMC Topic: Action Potentials

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Spontaneous motion on two-dimensional continuous attractors.

Neural computation Jan 20, 2015
Attractor models are simplified models used to describe the dynamics of firing rate profiles of a pool of neurons. The firing rate profile, or the neuronal activity, is thought to carry information. Continuous attractor neural networks (CANNs) descri...
Neurons Nonlinear Dynamics Nerve Net Computer Simulation Models, Neurological Action Potentials Humans Neural Networks, Computer
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On the role of astroglial syncytia in self-repairing spiking neural networks.

IEEE transactions on neural networks and learning systems Jan 6, 2015
It has been shown that brain-like self-repair can arise from the interactions between neurons and astrocytes where endocannabinoids are synthesized and released from active neurons. This retrograde messenger feeds back to local synapses directly and ...
Neurons Synapses Nerve Net Action Potentials Humans Astrocytes Neural Networks, Computer Models, Neurological
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Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network.

IEEE transactions on neural networks and learning systems Oct 22, 2014
This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event representation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different p...
Action Potentials Neurons Humans Motion Neural Networks, Computer Cerebral Cortex Models, Neurological Nerve Net
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Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.

Journal of neuroscience methods Oct 18, 2014
BACKGROUND: The information obtained from signal recorded with extracellular electrodes is essential in many research fields with scientific and clinical applications. These signals are usually considered as a point process and a spike detection meth...
Electrodes Models, Neurological Action Potentials Signal Processing, Computer-Assisted Decision Making Neurons Humans Computer Simulation Fuzzy Logic
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Synchronization among neuronal pools without common inputs: in vivo study.

Brain structure & function Sep 18, 2014
Periodic synchronization of activity among neuronal pools has been related to substantial neural processes and information throughput in the neocortical network. However, the mechanisms of generating such periodic synchronization among distributed po...
Neurons Cortical Synchronization Neocortex Rats Models, Neurological Action Potentials Animals Rats, Wistar Neural Networks, Computer
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Self-organization of a recurrent network under ongoing synaptic plasticity.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2014
We investigated the organization of a recurrent network under ongoing synaptic plasticity using a model of neural oscillators coupled by dynamic synapses. In this model, the coupling weights changed dynamically, depending on the timing between the os...
Algorithms Neuronal Plasticity Models, Neurological Action Potentials Neurons Synapses Humans Neural Networks, Computer Fourier Analysis Neural Conduction
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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...
Computer Simulation Animals Models, Neurological Neural Networks, Computer Nerve Net Dendrites Purkinje Cells Action Potentials Neurons Synapses
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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...
Dimensionality Reduction Middle Aged Electrocardiography Unsupervised Machine Learning Action Potentials Female Heart Ventricles Aged Humans Bundle-Branch Block Male Phenotype
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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 Neurons Speech Action Potentials Humans Neural Networks, Computer Algorithms
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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...
Signal Processing, Computer-Assisted Neurons Visual Cortex Humans Machine Learning Action Potentials
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