AIMC Topic: Action Potentials

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Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Scientific reports May 5, 2020
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spik...
Microscopy, Fluorescence Light Neurons Video Recording Models, Neurological Action Potentials Equipment Design Electrodes, Implanted Optogenetics Neurotransmitter Agents Synapsins Immunohistochemistry Cerebral Cortex Electrophysiology Neural Networks, Computer Cells, Cultured Brain In Vitro Techniques Rats Computer Simulation Humans Animals
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Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.

Neural computation Apr 28, 2020
Large-scale fluorescence calcium imaging methods have become widely adopted for studies of long-term hippocampal and cortical neuronal dynamics. Pyramidal neurons of the rodent hippocampus show spatial tuning in freely foraging or head-fixed navigati...
Animals Male Mice Action Potentials Female Hippocampus Optical Imaging Calcium Signaling Mice, Inbred C57BL Unsupervised Machine Learning Supervised Machine Learning
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Dendrite P systems.

Neural networks : the official journal of the International Neural Network Society Apr 18, 2020
It was recently found that dendrites are not just a passive channel. They can perform mixed computation of analog and digital signals, and therefore can be abstracted as information processors. Moreover, dendrites possess a feedback mechanism. Motiva...
Humans Neurons Neural Networks, Computer Synapses Dendrites Models, Neurological Action Potentials
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Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2020
Synfire rings are neural circuits capable of conveying synchronous, temporally precise and self-sustained activities in a robust manner. We propose a cell assembly based paradigm for abstract neural computation centered on the concept of synfire ring...
Action Potentials Humans Neural Networks, Computer Models, Neurological
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Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
Machine Learning Registries Prognosis Arrhythmias, Cardiac Retrospective Studies Contrast Media Heart Rate Female Magnetic Resonance Imaging Fourier Analysis Humans Ventricular Function, Left Myocardial Ischemia Gadolinium DTPA Action Potentials Death, Sudden, Cardiac Risk Factors Stroke Volume Cardiomyopathies Middle Aged Predictive Value of Tests Diagnosis, Computer-Assisted Aged Risk Assessment Imaging, Three-Dimensional Male United States
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Nonlinear Spiking Neural P Systems.

International journal of neural systems Mar 12, 2020
This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of each neuron is denoted by a real number, and a real configuration vector...
Models, Neurological Neurons Action Potentials Humans Membrane Potentials Neural Networks, Computer
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Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers.

Sensors (Basel, Switzerland) Mar 5, 2020
Premature babies are at high risk of serious neurodevelopmental disabilities, which in many cases are related to perinatal hypoxic-ischemic encephalopathy (HIE). Studies of neuroprotection in animal models consistently suggest that treatment must be ...
Sheep Hypoxia-Ischemia, Brain Pregnancy Female Action Potentials Electroencephalography Animals Fuzzy Logic
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A neural network for online spike classification that improves decoding accuracy.

Journal of neurophysiology Feb 26, 2020
Separating neural signals from noise can improve brain-computer interface performance and stability. However, most algorithms for separating neural action potentials from noise are not suitable for use in real time and have shown mixed effects on dec...
Saccades Electrocorticography Macaca mulatta Spatial Memory Neural Networks, Computer Animals Male Prefrontal Cortex Pattern Recognition, Automated Action Potentials Brain-Computer Interfaces
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Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks.

PloS one Feb 24, 2020
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight...
Nerve Net Presynaptic Terminals Action Potentials Computer Simulation Supervised Machine Learning Animals Connectome Models, Neurological
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Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.

IEEE transactions on biomedical circuits and systems Feb 4, 2020
This paper presents an adaptable dictionary-based feature extraction approach for spike sorting offering high accuracy and low computational complexity for implantable applications. It extracts and learns identifiable features from evolving subspaces...
Biomedical Engineering Algorithms Unsupervised Machine Learning Electrodes, Implanted Models, Neurological Signal Processing, Computer-Assisted Action Potentials
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