AIMC Topic: Action Potentials

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Coherent and intermittent ensemble oscillations emerge from networks of irregular spiking neurons.

Journal of neurophysiology Nov 11, 2015
Local field potential (LFP) recordings from spatially distant cortical circuits reveal episodes of coherent gamma oscillations that are intermittent, and of variable peak frequency and duration. Concurrently, single neuron spiking remains largely irr...
Gamma Rhythm Action Potentials Neurons Cerebral Cortex Neural Pathways Interneurons Pyramidal Cells Neural Networks, Computer Animals Models, Neurological Humans
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A Spiking Neural Network in sEMG Feature Extraction.

Sensors (Basel, Switzerland) Nov 3, 2015
We have developed a novel algorithm for sEMG feature extraction and classification. It is based on a hybrid network composed of spiking and artificial neurons. The spiking neuron layer with mutual inhibition was assigned as feature extractor. We demo...
Algorithms Female Young Adult Humans Neural Networks, Computer Action Potentials Signal Processing, Computer-Assisted Electromyography Adult Male Middle Aged
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Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.

Neural computation Oct 23, 2015
Information encoding in the nervous system is supported through the precise spike timings of neurons; however, an understanding of the underlying processes by which such representations are formed in the first place remains an open question. Here we ...
Supervised Machine Learning Neurons Neuronal Plasticity Action Potentials Neural Networks, Computer Learning
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Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2015
The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM). These are multi-modular computer systems designed to de...
Humans Neural Networks, Computer Machine Learning Brain Electroencephalography Time Factors Equipment Design Models, Neurological Neurosciences Action Potentials
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Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise.

International journal of neural systems Oct 9, 2015
Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous spike propagation with temporal spiking coding information. Recen...
Cerebral Cortex Stochastic Processes Models, Neurological Action Potentials Neurons Animals Humans Neuronal Plasticity Neural Networks, Computer
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Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.

Journal of computational neuroscience Oct 9, 2015
Heterogeneity of neural attributes has recently gained a lot of attention and is increasing recognized as a crucial feature in neural processing. Despite its importance, this physiological feature has traditionally been neglected in theoretical studi...
Stochastic Processes Cerebral Cortex Monte Carlo Method Nerve Net Neural Networks, Computer Computer Simulation Animals Mice Models, Neurological Action Potentials Humans
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Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators.

Physical review. E, Statistical, nonlinear, and soft matter physics Oct 6, 2015
The impact of connectivity and individual dynamics on the basin stability of the burst synchronization regime in small-world networks consisting of chaotic slow-fast oscillators is studied. It is shown that there are rewiring probabilities correspond...
Neural Networks, Computer Oscillometry Action Potentials Nonlinear Dynamics
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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.

IEEE transactions on bio-medical engineering Oct 1, 2015
GOAL: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in computational simulations that reproduce associative motor tasks in multiple sessions of acquisition and extinction.
Humans Neural Networks, Computer Models, Neurological Action Potentials Cerebellum Algorithms Computer Simulation Neuronal Plasticity Blinking
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Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.

Journal of computational neuroscience Sep 24, 2015
Neuronal adaptation is the intrinsic capacity of the brain to change, by various mechanisms, its dynamical responses as a function of the context. Such a phenomena, widely observed in vivo and in vitro, is known to be crucial in homeostatic regulatio...
Nonlinear Dynamics Humans Synapses Neural Networks, Computer Calcium Channels Computer Simulation Action Potentials Potassium Channels, Voltage-Gated Animals Cerebral Cortex Nerve Tissue Proteins Models, Neurological Nerve Net Neurons Adaptation, Physiological
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Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

Physical review. E, Statistical, nonlinear, and soft matter physics Sep 14, 2015
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred...
Nonlinear Dynamics Models, Neurological Neural Networks, Computer Action Potentials Neuronal Plasticity Neurons
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