Akademik Veri Yönetim Sistemi
VII. International Turkic World Congress on Science and Engineering, Priştine, Kosova, 13 Kasım - 15 Aralık 2025, ss.798-807, (Tam Metin Bildiri)
Memristor-based models are widely studied for their ability to reproduce neuronal and synaptic dynamics in neuromorphic systems. Since physical memristors are not yet commercially available, realizable models and hardware implementations are essential for practical applications. In this work, a Memristive FitzHugh–Nagumo (MFHN) system with a Blackman window function is proposed. Numerical simulations are first performed to investigate the dynamic characteristics of the system, including time-domain responses and the hysteresis curve of the memristor. Following that, the system is successfully implemented on the AN231E04 FPAA platform, which enables rapid prototyping and analog hardware design. CAM block configurations are achieved through the Anadigm Designer interface, and real-time measurements are recorded using a digital oscilloscope. The results demonstrate close agreement between the hardware implementation and the numerical simulations, confirming the feasibility of the proposed MFHN system with Blackman window function for its utilization in real-time neuromorphic applications.