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Memristive competitive hopfield neural network for image segmentation application
Image segmentation implementation provides simplified and effective feature information of image. Neural network algorithms have made significant...
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Hamiltonian energy and coexistence of hidden firing patterns from bidirectional coupling between two different neurons
In this paper, bidirectional-coupled neurons through an asymmetric electrical synapse are investigated. These coupled neurons involve 2D...
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Complex bifurcation analysis and synchronization optimal control for Hindmarsh–Rose neuron model under magnetic flow effect
In this contribution, the complex behaviour of the Hindmarsh–Rose neuron model under magnetic flow effect (mHR) is investigated in terms of...
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Various firing activities and finite-time synchronization of an improved Hindmarsh–Rose neuron model under electric field effect
Nowadays, it is important to realize systems that can model the electrical activity of neurons taking into account almost all the properties of the...
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Noise effects on robust synchronization of a small pacemaker neuronal ensemble via nonlinear controller: electronic circuit design
In this paper, we report on the synchronization of a pacemaker neuronal ensemble constituted of an AB neuron electrically coupled to two PD neurons....
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Extracting the parameters of the double-dispersion Cole bioimpedance model from magnitude response measurements
In the field of bioimpedance measurements, the Cole impedance model is widely used for characterizing biological tissues and biochemical materials....
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Computational Neural Networks
Brain function remains one of the most elusive and fascinating phenomena challenging modem science (Churchland, 1986). Although a lot is already...