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Consequently, network topologies typically used in modelling neural dynamics are inadequate for our purpose.
This geometric observation becomes important when we try to understand changes in neural dynamics.
In neural dynamics, neurons send electrical spikes to each other through axons terminating in synapses.
Liley's theory of neural dynamics is a spatiotemporal theory of the electroencephalogram (EEG).
In the model without astrocytic feedback, neural dynamics is decoupled from astrocytic dynamics.
By combining Zhang neural dynamics and gradient neural dynamics, a new effective controller-design method, termed Zhang-gradient (ZG) neural dynamics, is proposed for the tracking control of the modified Lorenz nonlinear system.
The neural dynamics of interest can be obtained by correlating the modulation profile of the canonical correlation components with the time series representing average neural dynamics for regions of interest (ROIs).
Therefore, study of neural dynamics with consideration of the delayed problem becomes extremely important to manufacture high-quality neural networks.
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy.
The dynamics of each neuron is characterized by an additive neural dynamics model.
Dynamical systems theory has also had relatively little to say about imagery, although Freeman (1983) has sketched an account of olfactory imagery in terms of neural dynamics.
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