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Action Potentials

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Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns.

Bio Systems Jul 27, 2017
Dynamics of a reverberating neural net is studied by means of computer simulation. The net, which is composed of 9 leaky integrate-and-fire (LIF) neurons arranged in a square lattice, is fully connected with interneuronal communication delay proporti...
Action Potentials Neurons Nerve Net Humans Neural Networks, Computer Computer Simulation Models, Neurological
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A multivariate extension of mutual information for growing neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Recordings of neural network activity in vitro are increasingly being used to assess the development of neural network activity and the effects of drugs, chemicals and disease states on neural network function. The high-content nature of the data der...
Action Potentials Neurons Microelectrodes Microarray Analysis Patch-Clamp Techniques Neural Networks, Computer
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Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Scientific reports Jul 13, 2017
Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires fi...
Humans Neural Networks, Computer Brain Action Potentials Synapses Time Perception Computer Simulation Learning Neuronal Plasticity
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Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data.

IEEE transactions on nanobioscience Jun 9, 2017
For the past few years, we have developed flexible, active, and multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the ele...
Humans Reproducibility of Results Unsupervised Machine Learning Seizures Pattern Recognition, Automated Sensitivity and Specificity Diagnosis, Computer-Assisted Action Potentials Cerebral Cortex Electrocorticography
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Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity.

eNeuro May 22, 2017
Humans instantly recognize a previously seen face as "familiar." To deepen our understanding of familiarity-novelty detection, we simulated biologically plausible neural network models of generic cortical microcircuits consisting of spiking neurons w...
Facial Recognition Recognition, Psychology Receptors, N-Methyl-D-Aspartate Cerebral Cortex Neuronal Plasticity Neural Pathways Action Potentials Unsupervised Machine Learning Discriminant Analysis Neurons Calcium Neural Networks, Computer Computer Simulation Learning Humans
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Tonic regulation of stationary asynchronous firing of a neural network.

Journal of computational neuroscience May 16, 2017
The impact of tonic conductance upon population activity was investigated. An extra tonic transmembrane current through GABA-activated extrasynaptic GABA -receptors was found to control stationary asynchronous firing both quantitatively and qualitat...
Neural Inhibition Nonlinear Dynamics gamma-Aminobutyric Acid Nerve Net Neural Networks, Computer Computer Simulation Humans Animals Models, Neurological Action Potentials Neurons
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An online supervised learning method based on gradient descent for spiking neurons.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2017
The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by precise firing times of spikes. The gradient-descent-based (GDB) learning methods are widely used and verified...
Learning Models, Neurological Action Potentials Supervised Machine Learning Neurons Synapses Algorithms Nerve Net Memory
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Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study.

Neural networks : the official journal of the International Neural Network Society Mar 22, 2017
Persistent irregular activity is defined as elevated irregular neural discharges in the brain in such a way that while the average network activity displays high frequency oscillations, the participating neurons display irregular and low frequency os...
Action Potentials Neural Inhibition Neurons Animals Humans Prefrontal Cortex Nerve Net Neural Networks, Computer Models, Neurological
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Neuronify: An Educational Simulator for Neural Circuits.

eNeuro Mar 17, 2017
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps are available for simulation of ...
Neural Inhibition Periodicity Synaptic Transmission Neurosciences Touch Neural Networks, Computer Neurons Animals Mobile Applications Vision, Ocular Models, Neurological Electric Stimulation Action Potentials
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Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2017
We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections,...
Probability Humans Models, Neurological Action Potentials Neural Networks, Computer Neurons
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