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Neuronal Networks on Nanocellulose Scaffolds
Tissue Engineering Part C: Methods, 2015Proliferation, integration, and neurite extension of PC12 cells, a widely used culture model for cholinergic neurons, were studied in nanocellulose scaffolds biosynthesized by Gluconacetobacter xylinus to allow a three-dimensional (3D) extension of neurites better mimicking neuronal networks in tissue.
Malin Jonsson +6 more
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The bifurcating neuron network 3
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006The bifurcating neuron (BN) is an integrate-and-fire model neuron that exhibits bistability and attractor-merging crisis. The bifurcating neuron network 1, a network of BNs, was shown to be an associative memory that is robust against spurious minima problems. It was noted that the BN can in fact have multi-stability, which would make the BN a chaotic,
Jinhyuk Choi, Geehyuk Lee
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The learning of moment neuronal networks
Neurocomputing, 2010We consider how to train the recently developed moment neuronal networks (MNN) with the IF model activated by the renewal process synaptic inputs, which encodes the input information into the mean and variance of the interspike intervals. Here we apply an error minimization technique to train the networks and mathematically derive a corresponding back ...
Xuyan Xiang, Hui Ou, Yingchun Deng
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Neural Networks and Networks of Neurons
1992Abstract Neural network models hold the promise of serving as a bridge, or translator, between the more familiar worlds of physiology and behavior. Behavior emerges from the collective activities of brain cells linked together in spatiotemporal patterns, and those activities are the result of the anatomical and physiological ...
Gary Lynch +3 more
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2011
An essential component of the art of modelling is to carry out appropriate simplifications. This is particularly important when modelling networks of neurons. Generally, it is not possible to represent each neuron of the real system in the model, and so many design questions have to be asked. The principal questions concern the number of neurons in the
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An essential component of the art of modelling is to carry out appropriate simplifications. This is particularly important when modelling networks of neurons. Generally, it is not possible to represent each neuron of the real system in the model, and so many design questions have to be asked. The principal questions concern the number of neurons in the
openaire +1 more source
Synchronisation Mechanisms in Neuronal Networks
2001The synchronisation behaviour of a network of FitzHugh-Nagumo (FHN) oscillators are investigated. As the FHN units are meant to represent interneurons, only inhibitory chemical coupling is considered. Each unit receives synaptic-like input from a given fraction of the other units, randomly chosen.
Santi Chillemi +2 more
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Nanotechnology Facilitated Cultured Neuronal Network and Its Applications
International Journal of Molecular Sciences, 2021Balázs Gulyás, Manojit Pramanik
exaly
Loss of LAMP5 interneurons drives neuronal network dysfunction in Alzheimer’s disease
Acta Neuropathologica, 2022Lars Ittner, Fabien Delerue, Tim Karl
exaly