AIMC Topic: Neurons

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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...
Neural Networks, Computer Algorithms Nerve Net Neurons Animals Pattern Recognition, Automated Time Factors Comprehension
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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...
Stochastic Processes Neurons Nerve Net Humans Brain Neural Networks, Computer Models, Neurological Action Potentials
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Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2015
The basal ganglia (BG) comprise multiple subcortical nuclei, which are responsible for cognition and other functions. Developing a brain-machine interface (BMI) demands a suitable solution for the real-time implementation of a portable BG. In this st...
Computer Systems Parkinson Disease Models, Statistical Algorithms Computers Basal Ganglia Robotics Neurons Brain-Computer Interfaces Humans Neural Networks, Computer
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Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle.

IEEE transactions on neural networks and learning systems Aug 7, 2015
This paper studies both indirect and direct global neural control of strict-feedback systems in the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a novel manner. A new switching mechanism is designed to combine an...
Humans Neural Networks, Computer Neurons Nonlinear Dynamics Stochastic Processes Feedback Support Vector Machine Models, Neurological
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Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction.

Neural networks : the official journal of the International Neural Network Society Jul 31, 2015
Quantum Neural Networks (QNN) models have attracted great attention since it innovates a new neural computing manner based on quantum entanglement. However, the existing QNN models are mainly based on the real quantum operations, and the potential of...
Prognosis Rotation Neurons Quantum Theory Computers, Hybrid Algorithms Forecasting Computer Simulation Neural Networks, Computer Machine Learning
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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 Action Potentials Neurons Nonlinear Dynamics gamma-Aminobutyric Acid Nerve Net Synaptic Transmission Computer Simulation Animals Models, Neurological Humans Neural Networks, Computer
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Employing TDMA Protocol in Neural Nanonetworks in Case of Neuron Specific Faults.

IEEE transactions on nanobioscience Jul 1, 2015
Many neurodegenerative diseases arise from the malfunctioning neurons in the pathway where the signal is carried. In this paper, we propose neuron specific TDMA/multiplexing and demultiplexing mechanisms to convey the spikes of a receptor neuron over...
Neurons Electronics Nanotechnology Neural Networks, Computer Models, Neurological Action Potentials Humans
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Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms.

Computational intelligence and neuroscience Jun 29, 2015
Artificial Neural Network (ANN) design is a complex task because its performance depends on the architecture, the selected transfer function, and the learning algorithm used to train the set of synaptic weights. In this paper we present a methodology...
Neurons Neural Networks, Computer Pattern Recognition, Automated Algorithms Chromosome Pairing
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The straintronic spin-neuron.

Nanotechnology Jun 26, 2015
In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is switched with...
Models, Theoretical Models, Neurological Action Potentials Neural Networks, Computer Temperature Nanotechnology Electricity Magnetite Nanoparticles Energy Transfer Magnetic Phenomena Neurons
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Realization problem of multi-layer cellular neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 22, 2015
This paper investigates whether the output space of a multi-layer cellular neural network can be realized via a single layer cellular neural network in the sense of the existence of finite-to-one map from one output space to the other. Whenever such ...
Neural Networks, Computer Machine Learning Algorithms Neurons Entropy
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