Neuromorphic computing systems have emerged as powerful computation tools in the field
of object recognition and control systems. However, training these systems, which are …

Chaotic systems have attracted extensive research due to their pseudorandomness,
ergodicity, and unique properties. Most studies focus on chaotic systems in the real number …

Neuromorphic computing mimics the functional components and structure of the human
brain to achieve highly efficient computing with minimal resources and power consumption …

In recent years, technological advancements in the field of computing have been limited by
the slowing down of Moore's law, which predicts the doubling of the number of transistors on …