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生物物理学报 1995
EEG-LIKE ACTIVITIES OF A MODIFIED NEURAL NETWORK MODEL WITH DYNAMIC NEURONS AND THEIR APPLICATION
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Abstract:
Based on our previously proposed sboltri enlistic neural network model withdynamic neamns, a modal model was developed in this paper, in Which the change of theexchabilitiy of the neamn ac its discharging and the linimed neurons were consider, thus the modal model would be more realistic from a biological view. Computersimulation indicatal that the EEG-like activitieS produced by such model were extrmely sensitive to the initial condition, they had positive Lyapunov exponents and were boUnded in a finite range, thus they had obvious chaotic charactehatics. Taking advantage of there properties,we canmake the files unreadable for susngery and astore them easily. Even very small changeof the parameters or initial values would make the dateding unsucosful, thus, it might beed as a method in communication to keeg the contents secret for those who don't know thecorrect value of the parametrs and initial values of the model.