AIMC Topic:
Neurons

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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...
Neural Networks, Computer Temperature Magnetite Nanoparticles Magnetic Phenomena Neurons Models, Theoretical Models, Neurological Action Potentials Energy Transfer Nanotechnology Electricity
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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 ...
Entropy Algorithms Neurons Neural Networks, Computer Machine Learning
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Dynamic role of adult-born dentate granule cells in memory processing.

Current opinion in neurobiology Jun 19, 2015
Throughout the adult life of all mammals including humans, new neurons are incorporated to the dentate gyrus of the hippocampus. During a critical window that lasts about two weeks, adult-born immature neurons are more excitable and plastic than matu...
Dentate Gyrus Adult Humans Animals Neural Networks, Computer Neurons Nerve Net Memory Neurogenesis
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A neural network that finds a naturalistic solution for the production of muscle activity.

Nature neuroscience Jun 15, 2015
It remains an open question how neural responses in motor cortex relate to movement. We explored the hypothesis that motor cortex reflects dynamics appropriate for generating temporally patterned outgoing commands. To formalize this hypothesis, we tr...
Animals Muscle, Skeletal Electromyography Neural Networks, Computer Motor Activity Motor Cortex Neurons Electrophysiological Phenomena Nerve Net Haplorhini
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Speed-accuracy tradeoff by a control signal with balanced excitation and inhibition.

Journal of neurophysiology May 20, 2015
A hallmark of flexible behavior is the brain's ability to dynamically adjust speed and accuracy in decision-making. Recent studies suggested that such adjustments modulate not only the decision threshold, but also the rate of evidence accumulation. H...
Parietal Lobe Neural Networks, Computer Neural Inhibition Animals Time Factors Psychomotor Performance Action Potentials Synapses Decision Making Haplorhini Neurons
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Learning Slowness in a Sparse Model of Invariant Feature Detection.

Neural computation May 14, 2015
Primary visual cortical complex cells are thought to serve as invariant feature detectors and to provide input to higher cortical areas. We propose a single model for learning the connectivity required by complex cells that integrates two factors tha...
Visual Cortex Eye Movements Time Factors Models, Neurological Neurons Markov Chains Visual Perception Humans Machine Learning Learning
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A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.

Neural computation May 14, 2015
Neural network models of early sensory processing typically reduce the dimensionality of streaming input data. Such networks learn the principal subspace, in the sense of principal component analysis, by adjusting synaptic weights according to activi...
Principal Component Analysis Neurons Linear Models Algorithms Learning Models, Neurological Neural Networks, Computer
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An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities.

IEEE transactions on neural networks and learning systems May 13, 2015
Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of engineering and clinical applications. However, because of high nonlinearity, the traditional mod...
Animals Models, Neurological Action Potentials Neurons Synapses Humans Neural Networks, Computer Computer Simulation Hippocampus Nerve Net
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Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework.

Neural networks : the official journal of the International Neural Network Society May 6, 2015
This paper is concerned with the periodic synchronization problem for a general class of delayed neural networks (DNNs) with discontinuous neuron activation. One of the purposes is to analyze the problem of periodic orbits. To do so, we introduce new...
Neurons Humans Nerve Net Neural Networks, Computer Algorithms Feedback Time Factors
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