Chaos and its synchronization in two-neuron systems with discrete delays

摘要: Abstract It is well known that complex dynamic behaviors exist in time-delayed neural systems. Infinite positive Lyapunov exponents can be found chaotic systems since the dimension of such infinite. However, theoretical and experimental models studied thus far are low dimensional with only one exponent. Consequently, messages masked by shown to easily extracted some cases. Therefore, communication system a higher security level design means neuron In this paper, we firstly investigate dynamical two-neuron discrete delays. Then, chaos synchronization based on method designing coupled employing Krasovskii–Lyapunov theory search conditions. Numerical results illustrate correctness our analyses.