AIMC Topic: Action Potentials

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Development of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Blockage of some ion channels and in particular, the hERG (human Ether-a'-go-go-Related Gene) cardiac potassium channel delays cardiac repolarization and can induce arrhythmia. In some cases it leads to a potentially life-threatening arrh...
ROC Curve Electrocardiography Action Potentials Heart Ventricles Humans Neural Networks, Computer Male Middle Aged Ether-A-Go-Go Potassium Channels Torsades de Pointes Long QT Syndrome Arrhythmias, Cardiac Myocytes, Cardiac Models, Cardiovascular
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STDP-based spiking deep convolutional neural networks for object recognition.

Neural networks : the official journal of the International Neural Network Society Dec 23, 2017
Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in spiking neural networks (SNN) to extract visual features of low or intermediate complexity in an unsupervised manner. These studies, however, used relatively sha...
Neurons Photic Stimulation Visual Perception Pattern Recognition, Visual Animals Neuronal Plasticity Models, Neurological Action Potentials Humans Neural Networks, Computer Computer Simulation Learning
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Cortical frequency-specific plasticity is independently induced by intracortical circuitry.

Neuroscience letters Dec 21, 2017
Auditory learning induces frequency-specific plasticity in the auditory cortex. Both the auditory cortex and thalamus are involved in the cortical plasticity; however, the precise role of the intracortical circuity remains unclear until the contribut...
Animals Action Potentials Mice Mice, Inbred C57BL Neuronal Plasticity Lidocaine Neurons Thalamus Voltage-Gated Sodium Channel Blockers Acoustic Stimulation Auditory Cortex Evoked Potentials, Auditory Electric Stimulation
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Modeling spike-wave discharges by a complex network of neuronal oscillators.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2017
PURPOSE: The organization of neural networks and the mechanisms, which generate the highly stereotypical for absence epilepsy spike-wave discharges (SWDs) is heavily debated. Here we describe such a model which can both reproduce the characteristics ...
Somatosensory Cortex Brain Animals Epilepsy, Absence Disease Models, Animal Electroencephalography Action Potentials Humans Seizures Neural Networks, Computer Neurons Thalamus
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Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis.

Neural computation Dec 8, 2017
We present a neuromorphic current mode implementation of a spiking neural classifier with lumped square law dendritic nonlinearity. It has been shown previously in software simulations that such a system with binary synapses can be trained with struc...
Animals Metals Models, Neurological Action Potentials Neural Networks, Computer Pattern Recognition, Automated Oxides Computers Biomimetic Materials Semiconductors Electrical Equipment and Supplies Nonlinear Dynamics Dendrites Synapses
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Evaluation of Decoding Algorithms for Estimating Bladder Pressure from Dorsal Root Ganglia Neural Recordings.

Annals of biomedical engineering Nov 27, 2017
A closed-loop device for bladder control may offer greater clinical benefit compared to current open-loop stimulation devices. Previous studies have demonstrated the feasibility of using single-unit recordings from sacral-level dorsal root ganglia (D...
Cats Pressure Ganglia, Spinal Urinary Bladder Animals Male Action Potentials Neural Networks, Computer Signal Processing, Computer-Assisted Algorithms
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Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons.

Neural computation Nov 21, 2017
Under the goal-driven paradigm, Yamins et al. ( 2014 ; Yamins & DiCarlo, 2016 ) have shown that by optimizing only the final eight-way categorization performance of a four-layer hierarchical network, not only can its top output layer quantitatively p...
Statistics as Topic Visual Perception Macaca mulatta Action Potentials Neural Networks, Computer Neurons Animals Pattern Recognition, Automated Image Processing, Computer-Assisted Cerebral Cortex Models, Neurological
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The role of neuron-glia interactions in the emergence of ultra-slow oscillations.

Biological cybernetics Nov 11, 2017
Ultra-slow cortical oscillatory activity of 1-100 mHz has been recorded in human by electroencephalography and in dissociated cultures of cortical rat neurons, but the underlying mechanisms remain to be elucidated. This study presents a computational...
Rats, Wistar Rats Action Potentials Models, Biological Cell Communication Neurons Embryo, Mammalian Algorithms Synapses Neural Networks, Computer Cerebral Cortex Cells, Cultured Nerve Net Animals Neuroglia Time Factors
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Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.

Journal of computational neuroscience Nov 10, 2017
Heterogeneity of firing rate statistics is known to have severe consequences on neural coding. Recent experimental recordings in weakly electric fish indicate that the distribution-width of superficial pyramidal cell firing rates (trial- and time-ave...
Time Factors Computer Simulation Models, Neurological Neural Networks, Computer Electric Stimulation Female Action Potentials Pyramidal Cells Animals Neural Pathways Electric Fish Male Rhombencephalon
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Working Memory and Decision-Making in a Frontoparietal Circuit Model.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 7, 2017
Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distributed interacting network of brain areas, with the posterior parietal cortex (PPC) and prefrontal cortex (PFC) at the core. However, the shared and dis...
Memory, Short-Term Connectome Synaptic Transmission Parietal Lobe Humans Prefrontal Cortex Models, Neurological Neural Networks, Computer Action Potentials Computer Simulation Decision Making
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