AIMC Topic: Membrane Potentials

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A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems May 28, 2018
Spiking neurons are becoming increasingly popular owing to their biological plausibility and promising computational properties. Unlike traditional rate-based neural models, spiking neurons encode information in the temporal patterns of the transmitt...
Action Potentials Supervised Machine Learning Neurons Membrane Potentials Humans Neural Networks, Computer
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Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons.

Journal of computational neuroscience Nov 15, 2017
Voltage-sensitive dye imaging (VSDi) has revealed fundamental properties of neocortical processing at macroscopic scales. Since for each pixel VSDi signals report the average membrane potential over hundreds of neurons, it seems natural to use a mean...
Cerebral Cortex Nerve Net Photic Stimulation Macaca mulatta Neurons Nonlinear Dynamics Synapses Membrane Potentials Voltage-Sensitive Dye Imaging Neural Networks, Computer Animals Male Models, Neurological
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Improved Perceptual Learning by Control of Extracellular GABA Concentration by Astrocytic Gap Junctions.

Neural computation Oct 24, 2017
Learning of sensory cues is believed to rely on synchronous pre- and postsynaptic neuronal firing. Evidence is mounting that such synchronicity is not merely caused by properties of the underlying neuronal network but could also depend on the integri...
Neural Networks, Computer Learning Animals Models, Neurological Gap Junctions Membrane Potentials Nonlinear Dynamics GABA Plasma Membrane Transport Proteins Perception gamma-Aminobutyric Acid Nerve Net Extracellular Fluid Astrocytes Neurons
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Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 8, 2017
OBJECTIVE: In postanoxic coma, EEG patterns indicate the severity of encephalopathy and typically evolve in time. We aim to improve the understanding of pathophysiological mechanisms underlying these EEG abnormalities.
Hypoxia, Brain Netherlands Synapses Heart Arrest Synaptic Transmission Membrane Potentials Long-Term Potentiation Coma Aged Male Middle Aged Electroencephalography Humans Neural Networks, Computer Female
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Efficiency of rate and latency coding with respect to metabolic cost and time.

Bio Systems Jul 3, 2017
Recent studies on the theoretical performance of latency and rate code in single neurons have revealed that the ultimate accuracy is affected in a nontrivial way by aspects such as the level of spontaneous activity of presynaptic neurons, amount of n...
Computer Simulation Time Factors Computational Biology Models, Neurological Humans Neural Networks, Computer Neurons Energy Metabolism Nerve Net Membrane Potentials
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Analytical solution of the steady membrane voltage fluctuation caused by a single ion channel.

Physical review. E May 17, 2017
An analytical steady-state solution of the stochastic model describing the integrated dynamics of the membrane voltage and the gating of a single channel is presented. The voltage density function experiences bifurcation in the parameter space, and t...
Neural Networks, Computer Animals Neurons Stochastic Processes Ion Channels Membrane Potentials
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Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.

Scientific reports Jan 9, 2017
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical propert...
Humans Thalamus Membrane Potentials Neurons Neural Networks, Computer Parkinsonian Disorders Computer Systems Cerebral Cortex Models, Neurological Neural Pathways
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Statistical Performance Analysis of Data-Driven Neural Models.

International journal of neural systems Jun 9, 2016
Data-driven model-based analysis of electrophysiological data is an emerging technique for understanding the mechanisms of seizures. Model-based analysis enables tracking of hidden brain states that are represented by the dynamics of neural mass mode...
Seizures Neurons Synapses Stochastic Processes Humans Uncertainty Neural Networks, Computer Models, Neurological Algorithms Membrane Potentials Data Interpretation, Statistical Brain Bayes Theorem Computer Simulation Epilepsy
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A Computational Framework for Realistic Retina Modeling.

International journal of neural systems Apr 7, 2016
Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different v...
Neural Networks, Computer Membrane Potentials Retina Animals Software Vision, Ocular Macaca Nonlinear Dynamics Neuronal Plasticity Algorithms Neural Pathways Linear Models Models, Neurological Computer Simulation Adaptation, Physiological Pattern Recognition, Automated Feedback, Physiological
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Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition.

Neural computation Nov 24, 2015
Variability is a prominent characteristic of cognitive brain function. For instance, different trials of presentation of the same stimulus yield higher variability in its perception: subjects sometimes fail in perceiving the same stimulus. Perceptual...
Nerve Net Dose-Response Relationship, Drug Humans Neural Inhibition Neurons Neural Networks, Computer Membrane Potentials Cerebral Cortex Models, Neurological gamma-Aminobutyric Acid
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