AIMC Topic: Nerve Net

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Neural Network Spectral Robustness under Perturbations of the Underlying Graph.

Neural computation Nov 24, 2015
Recent studies have been using graph-theoretical approaches to model complex networks (such as social, infrastructural, or biological networks) and how their hardwired circuitry relates to their dynamic evolution in time. Understanding how configurat...
Brain Models, Neurological Brain Mapping Nerve Net Humans Neural Networks, Computer
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Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.

Computer methods and programs in biomedicine Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Normal Distribution Pectoralis Muscles Breast Pattern Recognition, Automated Nerve Net Breast Neoplasms Diagnosis, Computer-Assisted Databases, Factual Fuzzy Logic Humans Models, Statistical Female Artificial Intelligence Mammography Reproducibility of Results Algorithms Bayes Theorem Radiographic Image Interpretation, Computer-Assisted
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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...
Models, Neurological Action Potentials Cerebral Cortex Stochastic Processes Monte Carlo Method Computer Simulation Humans Nerve Net Animals Neural Networks, Computer Mice
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The transfer and transformation of collective network information in gene-matched networks.

Scientific reports Oct 9, 2015
Networks, such as the human society network, social and professional networks, and biological system networks, contain vast amounts of information. Information signals in networks are distributed over nodes and transmitted through intricately wired l...
Models, Genetic Signal Transduction Models, Neurological Neurons Neural Networks, Computer Algorithms Gene Regulatory Networks Humans Nerve Net
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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...
Adaptation, Physiological Potassium Channels, Voltage-Gated Nerve Tissue Proteins Neurons Nonlinear Dynamics Cerebral Cortex Nerve Net Synapses Calcium Channels Animals Models, Neurological Action Potentials Humans Neural Networks, Computer Computer Simulation
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Networks that learn the precise timing of event sequences.

Journal of computational neuroscience Sep 3, 2015
Neuronal circuits can learn and replay firing patterns evoked by sequences of sensory stimuli. After training, a brief cue can trigger a spatiotemporal pattern of neural activity similar to that evoked by a learned stimulus sequence. Network models s...
Neural Networks, Computer Machine Learning Computer Simulation Humans Synapses Nerve Net Time Pyramidal Cells Learning Neuronal Plasticity Models, Neurological Time Perception
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Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns.

Neural computation Aug 27, 2015
In higher animals, complex and robust behaviors are produced by the microscopic details of large structured ensembles of neurons. I describe how the emergent computational dynamics of a biologically based neural network generates a robust natural sol...
Animals Time Factors Neurons Nerve Net Pattern Recognition, Automated Neural Networks, Computer Comprehension Algorithms
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Learning with hidden variables.

Current opinion in neurobiology Aug 25, 2015
Learning and inferring features that generate sensory input is a task continuously performed by cortex. In recent years, novel algorithms and learning rules have been proposed that allow neural network models to learn such features from natural image...
Humans Animals Cerebral Cortex Nerve Net Neural Networks, Computer Machine Learning Learning
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Dynamic Behavior of Artificial Hodgkin-Huxley Neuron Model Subject to Additive Noise.

IEEE transactions on cybernetics Aug 19, 2015
Motivated by neuroscience discoveries during the last few years, many studies consider pulse-coupled neural networks with spike-timing as an essential component in information processing by the brain. There also exists some technical challenges while...
Neural Networks, Computer Humans Brain Models, Neurological Nerve Net Action Potentials Stochastic Processes Neurons
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GABA diffusion across neuronal columns for efficient sensory tuning.

Biological cybernetics Jul 28, 2015
Synaptic (phasic) lateral inhibition between neuronal columns mediated by GABAergic interneurons is, in general, essential for primary sensory cortices to respond selectively to elemental features. We propose here a neural network model with a nonsyn...
Neural Inhibition Humans Models, Neurological gamma-Aminobutyric Acid Neural Networks, Computer Nerve Net Neurons Computer Simulation Action Potentials Synaptic Transmission Nonlinear Dynamics Animals
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