Results 21 to 30 of about 52,867 (269)
Uncovering Neuronal Networks Defined by Consistent Between-Neuron Spike Timing from Neuronal Spike Recordings [PDF]
eneuro, 2018 AbstractIt is widely assumed that distributed neuronal networks are fundamental to the functioning of the brain. Consistent spike timing between neurons is thought to be one of the key principles for the formation of these networks. This can involve synchronous spiking or spiking with time delays, forming spike sequences when the order of spiking is ...
Roemer van der Meij, Bradley Voytek
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Synchronization and Rhythm Transition in a Complex Neuronal Network
IEEE Access, 2020 Synchronization and rhythm transition in an excitatory-inhibitory balanced cortical neuronal network are investigated in this paper. A small-world neuronal network is performed to be the cortical region of cerebral cortex, which is composed of different ...
Yuan Wang +3 more
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Network resonance can be generated independently at distinct levels of neuronal organization.
PLoS Computational Biology, 2022 Resonance is defined as maximal response of a system to periodic inputs in a limited frequency band. Resonance may serve to optimize inter-neuronal communication, and has been observed at multiple levels of neuronal organization.
Eran Stark +2 more
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eLife, 2021 Neuronal activity correlations are key to understanding how populations of neurons collectively encode information. While two-photon calcium imaging has created a unique opportunity to record the activity of large populations of neurons, existing methods
Anuththara Rupasinghe +5 more
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Image Processing with Spiking Neuron Networks [PDF]
, 2013 Artificial neural networks have been well developed so far. First two generations of neural networks have had a lot of successful applications. Spiking Neuron Networks (SNNs) are often referred to as the third generation of neural networks which have potential to solve problems related to biological stimuli. They derive their strength and interest from
Meftah, Boudjelal +4 more
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Spike Code Flow in Cultured Neuronal Networks [PDF]
Computational Intelligence and Neuroscience, 2016 We observed spike trains produced by one-shot electrical stimulation with 8 × 8 multielectrodes in cultured neuronal networks. Each electrode accepted spikes from several neurons. We extracted the short codes from spike trains and obtained a code spectrum with a nominal time accuracy of 1%.
Shinichi Tamura +8 more
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In-phase and anti-phase synchronization in noisy Hodgkin-Huxley neurons [PDF]
, 2013 We numerically investigate the influence of intrinsic channel noise on the dynamical response of delay-coupling in neuronal systems. The stochastic dynamics of the spiking is modeled within a stochastic modification of the standard Hodgkin-Huxley model ...
Ao, Xue, Hanggi, Peter, Schmid, Gerhard
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Building functional networks of spiking model neurons [PDF]
Nature Neuroscience, 2016 Most of the networks used by computer scientists and many of those studied by modelers in neuroscience represent unit activities as continuous variables. Neurons, however, communicate primarily through discontinuous spiking. We review methods for transferring our ability to construct interesting networks that perform relevant tasks from the artificial ...
Abbott, L.F. +2 more
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Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks. [PDF]
PLoS Computational Biology, 2017 Developing neuronal systems intrinsically generate coordinated spontaneous activity that propagates by involving a large number of synchronously firing neurons.
Davide Lonardoni +5 more
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Bumps and oscillons in networks of spiking neurons [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 We study localized patterns in an exact mean-field description of a spatially extended network of quadratic integrate-and-fire neurons. We investigate conditions for the existence and stability of localized solutions, so-called bumps, and give an analytic estimate for the parameter range, where these solutions exist in parameter space, when one or more
Helmut Schmidt, Daniele Avitabile
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