AIMC Topic: Action Potentials

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Dynamic Behavior of Artificial Hodgkin-Huxley Neuron Model Subject to Additive Noise.

IEEE transactions on cybernetics Aug 19, 2015
Motivated by neuroscience discoveries during the last few years, many studies consider pulse-coupled neural networks with spike-timing as an essential component in information processing by the brain. There also exists some technical challenges while...
Stochastic Processes Action Potentials Neurons Nerve Net Humans Neural Networks, Computer Brain Models, Neurological
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Context-dependent coding and gain control in the auditory system of crickets.

The European journal of neuroscience Aug 8, 2015
Sensory systems process stimuli that greatly vary in intensity and complexity. To maintain efficient information transmission, neural systems need to adjust their properties to these different sensory contexts, yielding adaptive or stimulus-dependent...
Neural Networks, Computer Female Auditory Perception Electrophysiological Phenomena Gryllidae Animals Action Potentials Adaptation, Physiological
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GABA diffusion across neuronal columns for efficient sensory tuning.

Biological cybernetics Jul 28, 2015
Synaptic (phasic) lateral inhibition between neuronal columns mediated by GABAergic interneurons is, in general, essential for primary sensory cortices to respond selectively to elemental features. We propose here a neural network model with a nonsyn...
Computer Simulation Animals Models, Neurological Humans Neural Networks, Computer gamma-Aminobutyric Acid Nerve Net Synaptic Transmission Action Potentials Neurons Nonlinear Dynamics Neural Inhibition
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Employing TDMA Protocol in Neural Nanonetworks in Case of Neuron Specific Faults.

IEEE transactions on nanobioscience Jul 1, 2015
Many neurodegenerative diseases arise from the malfunctioning neurons in the pathway where the signal is carried. In this paper, we propose neuron specific TDMA/multiplexing and demultiplexing mechanisms to convey the spikes of a receptor neuron over...
Electronics Nanotechnology Humans Models, Neurological Neural Networks, Computer Action Potentials Neurons
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ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster.

TheScientificWorldJournal Jun 29, 2015
The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection s...
Fuzzy Logic Wavelet Analysis Algorithms Humans Action Potentials Linguistics Neural Networks, Computer Time Factors Signal Processing, Computer-Assisted Electrocardiography
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The straintronic spin-neuron.

Nanotechnology Jun 26, 2015
In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is switched with...
Energy Transfer Action Potentials Magnetite Nanoparticles Magnetic Phenomena Neurons Nanotechnology Electricity Temperature Models, Theoretical Models, Neurological Neural Networks, Computer
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Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Journal of neurophysiology May 20, 2015
A hallmark of flexible behavior is the brain's ability to dynamically adjust speed and accuracy in decision-making. Recent studies suggested that such adjustments modulate not only the decision threshold, but also the rate of evidence accumulation. H...
Time Factors Action Potentials Decision Making Neurons Psychomotor Performance Synapses Neural Networks, Computer Animals Haplorhini Parietal Lobe Neural Inhibition
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An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities.

IEEE transactions on neural networks and learning systems May 13, 2015
Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of engineering and clinical applications. However, because of high nonlinearity, the traditional mod...
Nerve Net Animals Models, Neurological Action Potentials Humans Neurons Neural Networks, Computer Synapses Computer Simulation Hippocampus
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Measuring predictability of autonomous network transitions into bursting dynamics.

PloS one Apr 9, 2015
Understanding spontaneous transitions between dynamical modes in a network is of significant importance. These transitions may separate pathological and normal functions of the brain. In this paper, we develop a set of measures that, based on spatio-...
Action Potentials Neurons Nerve Net Humans Neural Networks, Computer Brain Computer Simulation
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DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2015
Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, ...
Nerve Net Action Potentials Neurons Synapses Learning Animals Models, Neurological Humans Neural Networks, Computer Algorithms
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