AIMC Topic: Models, Neurological

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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, ...
Neural Networks, Computer Algorithms Action Potentials Humans Learning Neurons Animals Synapses Models, Neurological Nerve Net
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Kernel temporal differences for neural decoding.

Computational intelligence and neuroscience Mar 17, 2015
We study the feasibility and capability of the kernel temporal difference (KTD)(λ) algorithm for neural decoding. KTD(λ) is an online, kernel-based learning algorithm, which has been introduced to estimate value functions in reinforcement learning. T...
Models, Neurological Artificial Intelligence Brain-Computer Interfaces Algorithms Reinforcement, Psychology Computer Simulation
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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...
Action Potentials Neurons gamma-Aminobutyric Acid Neural Networks, Computer Learning Models, Neurological GABA Plasma Membrane Transport Proteins Nerve Net Synaptic Transmission Neural Inhibition 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...
Humans Neural Networks, Computer Brain Neurons Nerve Net Computer Simulation Models, Neurological Action Potentials
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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 ...
Gyrus Cinguli Electrophysiological Phenomena Neural Networks, Computer Synapses Algorithms Linear Models Humans Corpus Striatum Computer Simulation Action Potentials Causality Nonlinear Dynamics Models, Neurological
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Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2015
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...
Brain-Computer Interfaces Evoked Potentials, Visual Task Performance and Analysis Word Processing Photic Stimulation Communication Devices for People with Disabilities Natural Language Processing Electroencephalography Pattern Recognition, Automated Sensitivity and Specificity Male Models, Neurological Reproducibility of Results Humans Language Adult Female Machine Learning Algorithms
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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 ...
Algorithms Animals Neurons Support Vector Machine Nonlinear Dynamics Models, Neurological Synapses Action Potentials Dendrites
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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 Humans Action Potentials Neural Networks, Computer Animals Neurons Models, Statistical Computer Simulation Models, Neurological Biomimetics Feedback, Physiological
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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...
Normal Distribution Neural Networks, Computer Algorithms Bayes Theorem Reproducibility of Results Benchmarking Discriminant Analysis Models, Neurological Neurons Action Potentials
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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 Models, Neurological Movement Action Potentials Interneurons Insecta Sensory Receptor Cells Neural Networks, Computer Animals
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