AIMC Topic: Action Potentials

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Regulation of Local Ambient GABA Levels via Transporter-Mediated GABA Import and Export for Subliminal Learning.

Neural computation Mar 16, 2015
Perception of supraliminal stimuli might in general be reflected in bursts of action potentials (spikes), and their memory traces could be formed through spike-timing-dependent plasticity (STDP). Memory traces for subliminal stimuli might be formed i...
Neural Inhibition GABA Plasma Membrane Transport Proteins gamma-Aminobutyric Acid Nerve Net Synaptic Transmission Models, Neurological Action Potentials Neurons Neural Networks, Computer Learning Humans
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Surrogate population models for large-scale neural simulations.

Neural computation Mar 16, 2015
Because different parts of the brain have rich interconnections, it is not possible to model small parts realistically in isolation. However, it is also impractical to simulate large neural systems in detail. This article outlines a new approach to m...
Action Potentials Neurons Nerve Net Humans Computer Simulation Models, Neurological Neural Networks, Computer Brain
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Granger causality-based synaptic weights estimation for analyzing neuronal networks.

Journal of computational neuroscience Mar 13, 2015
Granger causality (GC) analysis has emerged as a powerful analytical method for estimating the causal relationship among various types of neural activity data. However, two problems remain not very clear and further researches are needed: (1) The GC ...
Humans Neural Networks, Computer Algorithms Action Potentials Nonlinear Dynamics Synapses Linear Models Computer Simulation Causality Models, Neurological Corpus Striatum Gyrus Cinguli Electrophysiological Phenomena
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Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites.

Neural computation Mar 3, 2015
This letter presents a spike-based model that employs neurons with functionally distinct dendritic compartments for classifying high-dimensional binary patterns. The synaptic inputs arriving on each dendritic subunit are nonlinearly processed before ...
Models, Neurological Algorithms Action Potentials Animals Dendrites Nonlinear Dynamics Neurons Support Vector Machine Synapses
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Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity.

Nano letters Mar 2, 2015
Memristors have been extensively studied for data storage and low-power computation applications. In this study, we show that memristors offer more than simple resistance change. Specifically, the dynamic evolutions of internal state variables allow ...
Neuronal Plasticity Action Potentials Equipment Design Neural Networks, Computer Animals Humans Computer-Aided Design Memory Equipment Failure Analysis Computer Storage Devices Synaptic Transmission Electric Impedance Biomimetic Materials Nerve Net
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Designing responsive pattern generators: stable heteroclinic channel cycles for modeling and control.

Bioinspiration & biomimetics Feb 25, 2015
A striking feature of biological pattern generators is their ability to respond immediately to multisensory perturbations by modulating the dwell time at a particular phase of oscillation, which can vary force output, range of motion, or other charac...
Central Pattern Generators Neurons Biomimetics Feedback, Physiological Animals Humans Action Potentials Neural Networks, Computer Models, Neurological Models, Statistical Computer Simulation
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Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.

Journal of computational neuroscience Feb 5, 2015
Spike sorting, i.e., the separation of the firing activity of different neurons from extracellular measurements, is a crucial but often error-prone step in the analysis of neuronal responses. Usually, three different problems have to be solved: the d...
Reproducibility of Results Models, Neurological Action Potentials Benchmarking Neurons Bayes Theorem Discriminant Analysis Neural Networks, Computer Algorithms Normal Distribution
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Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network.

Journal of computational neuroscience Feb 3, 2015
Understanding the patterns of interconnections between neurons in complex networks is an enormous challenge using traditional physiological approaches. Here we combine the use of an information theoretic approach with intracellular recording to estab...
Hindlimb Movement Interneurons Sensory Receptor Cells Models, Neurological Neural Networks, Computer Action Potentials Animals Insecta
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A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.

IEEE transactions on neural networks and learning systems Jan 27, 2015
This paper presents a bioinspired digital liquid-state machine (LSM) for low-power very-large-scale-integration (VLSI)-based machine learning applications. To the best of the authors' knowledge, this is the first work that employs a bioinspired spike...
Neurons Motivation Auditory Pathways Pattern Recognition, Physiological Speech Humans Models, Neurological Neural Networks, Computer Action Potentials Machine Learning
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A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.

Journal of computational neuroscience Jan 21, 2015
In this paper we provide a general methodology for systematically reducing the dynamics of a class of integrate-and-fire networks down to an augmented 4-dimensional system of ordinary-differential-equations. The class of integrate-and-fire networks w...
Neurons Nonlinear Dynamics Nerve Net Computer Simulation Models, Neurological Action Potentials Humans Neural Networks, Computer
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