AIMC Topic: Neurons

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Neuromorphic device architectures with global connectivity through electrolyte gating.

Nature communications May 17, 2017
Information processing in the brain takes place in a network of neurons that are connected with each other by an immense number of synapses. At the same time, neurons are immersed in a common electrochemical environment, and global parameters such as...
Microtechnology Synapses Electrolytes Nerve Net Thiophenes Models, Neurological Neurons Polystyrenes Neural Networks, Computer Brain
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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...
Stochastic Processes Ion Channels Membrane Potentials Animals Neurons Neural Networks, Computer
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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...
Computer Simulation Animals Models, Neurological Humans Neural Networks, Computer gamma-Aminobutyric Acid Nerve Net Neural Inhibition Neurons Nonlinear Dynamics Action Potentials
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Fast Recall for Complex-Valued Hopfield Neural Networks with Projection Rules.

Computational intelligence and neuroscience May 3, 2017
Many models of neural networks have been extended to complex-valued neural networks. A complex-valued Hopfield neural network (CHNN) is a complex-valued version of a Hopfield neural network. Complex-valued neurons can represent multistates, and CHNNs...
Computer Simulation Neural Networks, Computer Neurons Algorithms Mental Recall
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Emergence of ultrafast sparsely synchronized rhythms and their responses to external stimuli in an inhomogeneous small-world complex neuronal network.

Neural networks : the official journal of the International Neural Network Society Apr 28, 2017
We consider an inhomogeneous small-world network (SWN) composed of inhibitory short-range (SR) and long-range (LR) interneurons, and investigate the effect of network architecture on emergence of synchronized brain rhythms by varying the fraction of ...
Neural Networks, Computer Brain Neurons Interneurons Time Factors Periodicity
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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...
Nerve Net Memory Supervised Machine Learning Neurons Synapses Models, Neurological Action Potentials Algorithms Learning
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Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2017
To prevent large interconnected power system from a cascading failure, brownout or even blackout, grid operators require access to faster than real-time information to make appropriate just-in-time control decisions. However, the communication and co...
Computer Systems Intelligence Computers Neurons Machine Learning Neural Networks, Computer Artificial Intelligence Algorithms
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Edge detection based on Hodgkin-Huxley neuron model simulation.

Cognitive processing Apr 3, 2017
In this paper, we propose a spiking neural network model for edge detection in images. The proposed model is biologically inspired by the mechanisms employed by natural vision systems, more specifically by the biologically fulfilled function of simpl...
Vision, Ocular Visual Cortex Orientation Models, Neurological Neurons Neural Networks, Computer Computer Simulation Humans
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ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing.

PLoS computational biology Mar 31, 2017
Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handl...
Neurons Nerve Net Humans Neuroglia Models, Neurological Computer Simulation Cell Communication Neural Networks, Computer User-Computer Interface Software Computational Biology
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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...
Nerve Net Neural Inhibition Humans Action Potentials Neural Networks, Computer Animals Neurons Prefrontal Cortex Models, Neurological
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