Neural fields are an interesting option for modeling macroscopic parts of the cortex involving several populations of neurons, like cortical areas.
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes ...
A simplified model of local cortical interactions based on six neuron populations. Th local connectivity graph can be seen as a model of a cortical column ...
Absolute stability and complete synchronization in a class of neural ...
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Neural fields are an interesting option for modeling macroscopic parts of the cortex involving several populations of neurons, like cortical areas.
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas.
Jul 17, 2020 · Sufficient conditions for the absolute stability and synchronization of the systems are established. Several numerical examples are presented to ...
Neural fields are an interesting option for modeling macroscopic parts of the cortex involving several populations of neurons, like cortical areas.
Absolute Stability and Complete Synchronization in a Class of Neural Fields Models (pp. 205-250). Olivier Faugeras, François Grimbert and Jean-Jacques ...
We consider a class of neural field models represented by a second-order nonlinear system of integro-differential equations with space-dependent delays.
Oct 22, 2024 · The stability and synchronization problems are addressed in this study for the memristor-based fractional-order fuzzy cellular neural ...