Results 31 to 40 of about 52,867 (269)
Effects of internal noise on the spiking regularity of a clustered Hodgkin-Huxley neuronal network
Theoretical and Applied Mechanics Letters, 2014 Spiking regularity in a clustered Hodgkin–Huxley (HH) neuronal network has been studied in this letter. A stochastic HH neuronal model with channel blocks has been applied as local neuronal model.
Xiaojuan Sun
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Optimization Methods for Spiking Neurons and Networks [PDF]
IEEE Transactions on Neural Networks, 2010 Spiking neurons and spiking neural circuits are finding uses in a multitude of tasks such as robotic locomotion control, neuroprosthetics, visual sensory processing, and audition. The desired neural output is achieved through the use of complex neuron models, or by combining multiple simple neurons into a network.
Russell, Alexander F. +6 more
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Experimental analysis and computational modeling of interburst intervals in spontaneous activity of cortical neuronal culture [PDF]
, 2011 Rhythmic bursting is the most striking behavior of cultured cortical networks and may start in the second week after plating. In this study, we focus on the intervals between spontaneously occurring bursts, and compare experimentally recorded values with
Feber, J. le +3 more
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Frontiers in Computational Neuroscience, 2015 In this paper, we investigate how clustering factors influent spiking regularity of the neuronal network of subnetworks. In order to do so, we fix the averaged coupling probability and the averaged coupling strength, and take the cluster number M, the ...
Huiyan eLi, Xiaojuan eSun, Jinghua eXiao
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Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model [PDF]
, 2017 Acknowledgements This study was possible by partial financial support from the following Brazilian government agencies: CNPq, CAPES, and FAPESP (2011/19296-1 and 2015/07311-7).
Baptista, M.S. +7 more
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F1000Research, 2016 Neuronal activity in the central nervous system varies strongly in time and across neuronal populations. It is a longstanding proposal that such fluctuations generically arise from chaotic network dynamics.
Rainer Engelken +4 more
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Beta-rhythm oscillations and synchronization transition in network models of Izhikevich neurons: effect of topology and synaptic type [PDF]
, 2018 Despite their significant functional roles, beta-band oscillations are least understood. Synchronization in neuronal networks have attracted much attention in recent years with the main focus on transition type.
Khoshkhou, Mahsa, Montakhab, Afshin
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Advanced Intelligent Systems, 2020 Beyond the great success in machine learning (ML), the engineering community has been actively exploring neuromorphic computing systems based on spiking neural networks (SNNs).
Lin Bao +5 more
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Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns [PDF]
, 2013 We model spontaneous cortical activity with a network of coupled spiking units, in which multiple spatio-temporal patterns are stored as dynamical attractors.
de Candia, Antonio, Scarpetta, Silvia
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Spike-Timing Error Backpropagation in Theta Neuron Networks [PDF]
Neural Computation, 2008 The main contribution of this letter is the derivation of a steepest gradient descent learning rule for a multilayer network of theta neurons, a one-dimensional nonlinear neuron model. Central to our model is the assumption that the intrinsic neuron dynamics are sufficient to achieve consistent time coding, with no need to involve the precise shape of
Mckennoch, Samuel +2 more
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