AIMC Topic:
Neurons

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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...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Animals Humans Interneurons Pyramidal Cells Gamma Rhythm Cerebral Cortex Neural Pathways
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Stability of discrete time recurrent neural networks and nonlinear optimization problems.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2015
We consider the method of Reduction of Dissipativity Domain to prove global Lyapunov stability of Discrete Time Recurrent Neural Networks. The standard and advanced criteria for Absolute Stability of these essentially nonlinear systems produce rather...
Nonlinear Dynamics Neural Networks, Computer Neurons Algorithms
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Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits.

IEEE transactions on neural networks and learning systems Oct 26, 2015
Associative memories are data structures that allow retrieval of previously stored messages given part of their content. They, thus, behave similarly to the human brain's memory that is capable, for instance, of retrieving the end of a song, given it...
Statistics as Topic Neural Networks, Computer Artificial Intelligence Humans Neurons
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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 Neural Networks, Computer Neurons Learning Neuronal Plasticity 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...
Neuronal Plasticity Models, Neurological Neurons Cerebral Cortex Action Potentials Humans Neural Networks, Computer Animals Stochastic Processes
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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...
Neurons Nerve Net Algorithms Gene Regulatory Networks Signal Transduction Models, Neurological Models, Genetic Humans Neural Networks, Computer
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A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron.

Scientific reports Oct 8, 2015
In this paper we present a unified framework for extreme learning machines and reservoir computing (echo state networks), which can be physically implemented using a single nonlinear neuron subject to delayed feedback. The reservoir is built within t...
Humans Neural Networks, Computer Machine Learning User-Computer Interface Neurons Nonlinear Dynamics Software Computers
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New passivity criteria for memristive uncertain neural networks with leakage and time-varying delays.

ISA transactions Oct 3, 2015
In this paper, the problem of passivity analysis is studied for memristor-based uncertain neural networks with leakage and time-varying delays. By combining differential inclusions with set-valued maps, the system of memristive neural networks is cha...
Computer Simulation Neural Networks, Computer Neurons Algorithms Uncertainty
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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 Action Potentials Potassium Channels, Voltage-Gated Nerve Tissue Proteins Neurons Animals Neural Networks, Computer Models, Neurological Humans Calcium Channels Cerebral Cortex Computer Simulation Nonlinear Dynamics Nerve Net Synapses
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Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus.

eLife Sep 24, 2015
Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron proper...
Information Storage and Retrieval Knowledge Bases Animals Rodentia Hippocampus Neurons
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