Sinusoidal modulation control method in a chaotic neural network

• Proposing a chaos control method for a chaotic neural network.
• The control signal being sinusoidal wave simplified from brain waves.
• The control method connecting with the brain activities.
• The frequencies of the control signal corresponding to the thinking process.
• Useful to understand the mechanism of the conscious activity.

Chaotic neural networks (CNNs) have chaotic dynamic associative memory properties: The memory states appear non-periodically, and cannot be converged to a stored pattern. Thus, it is necessary to control chaos in a CNN in order to recognize associative memory. In this paper, a novel control method, the sinusoidal modulation control method, has been proposed to control chaos in a CNN. In this method, a sinusoidal wave simplified from brain waves is used as a control signal to modulate a parameter of the CNN. The simulation results demonstrate the effectiveness of this control method. The controlled CNN can be applied to information processing. Moreover, the method provides a way to associate brain waves by controlling CNNs.