AIMC Topic: Action Potentials

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Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data.

IEEE transactions on nanobioscience Jun 9, 2017
For the past few years, we have developed flexible, active, and multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the ele...
Humans Reproducibility of Results Sensitivity and Specificity Seizures Pattern Recognition, Automated Cerebral Cortex Diagnosis, Computer-Assisted Electrocorticography Action Potentials Unsupervised Machine Learning
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Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity.

eNeuro May 22, 2017
Humans instantly recognize a previously seen face as "familiar." To deepen our understanding of familiarity-novelty detection, we simulated biologically plausible neural network models of generic cortical microcircuits consisting of spiking neurons w...
Humans Neuronal Plasticity Action Potentials Unsupervised Machine Learning Discriminant Analysis Neural Networks, Computer Computer Simulation Learning Cerebral Cortex Neurons Facial Recognition Neural Pathways Recognition, Psychology Calcium Receptors, N-Methyl-D-Aspartate
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Tonic regulation of stationary asynchronous firing of a neural network.

Journal of computational neuroscience May 16, 2017
The impact of tonic conductance upon population activity was investigated. An extra tonic transmembrane current through GABA-activated extrasynaptic GABA -receptors was found to control stationary asynchronous firing both quantitatively and qualitat...
Neural Inhibition Humans Nonlinear Dynamics Neural Networks, Computer gamma-Aminobutyric Acid Action Potentials Computer Simulation Nerve Net Neurons Animals Models, Neurological
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An online supervised learning method based on gradient descent for spiking neurons.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2017
The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by precise firing times of spikes. The gradient-descent-based (GDB) learning methods are widely used and verified...
Synapses Nerve Net Memory Action Potentials Supervised Machine Learning Neurons Learning Models, Neurological Algorithms
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Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2017
Persistent irregular activity is defined as elevated irregular neural discharges in the brain in such a way that while the average network activity displays high frequency oscillations, the participating neurons display irregular and low frequency os...
Neural Networks, Computer Neurons Animals Nerve Net Prefrontal Cortex Neural Inhibition Humans Models, Neurological Action Potentials
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Neuronify: An Educational Simulator for Neural Circuits.

eNeuro Mar 17, 2017
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps are available for simulation of ...
Neurosciences Touch Neural Inhibition Periodicity Neurons Vision, Ocular Electric Stimulation Synaptic Transmission Mobile Applications Models, Neurological Action Potentials Neural Networks, Computer Animals
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Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2017
We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections,...
Neural Networks, Computer Models, Neurological Humans Action Potentials Neurons Probability
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Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Discriminant Analysis Artifacts Pattern Recognition, Automated Signal-To-Noise Ratio Sensitivity and Specificity Models, Neurological Action Potentials Models, Statistical Humans Algorithms Machine Learning Computer Simulation Reproducibility of Results
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Spatio-Temporal Tolerance of Visuo-Tactile Illusions in Artificial Skin by Recurrent Neural Network with Spike-Timing-Dependent Plasticity.

Scientific reports Jan 20, 2017
Perceptual illusions across multiple modalities, such as the rubber-hand illusion, show how dynamic the brain is at adapting its body image and at determining what is part of it (the self) and what is not (others). Several research studies showed tha...
Neurons Models, Neurological Illusions Humans Action Potentials Skin Physiological Phenomena Neural Networks, Computer Body Image Parietal Lobe Neuronal Plasticity
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Neuromorphic meets neuromechanics, part II: the role of fusimotor drive.

Journal of neural engineering Jan 17, 2017
OBJECTIVE: We studied the fundamentals of muscle afferentation by building a Neuro-mechano-morphic system actuating a cadaveric finger. This system is a faithful implementation of the stretch reflex circuitry. It allowed the systematic exploration of...
Robotics Computer Simulation Signal Processing, Computer-Assisted Animals Biomimetics Motor Neurons, Gamma Models, Neurological Muscle Contraction Synaptic Transmission Humans Neuromuscular Junction Action Potentials Afferent Pathways Muscle, Skeletal Muscle Spindles
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