  Memristive neuromorphic systems are designed to emulate human perception and
cognition, where the memristor states represent essential historical
information to perform both low-level and high-level tasks. However, current
systems face challenges with the separation of state modulation and
acquisition, leading to undesired time delays that impact real-time
performance. To overcome this issue, we introduce a dual-function circuit that
concurrently modulates and acquires memristor state information. This is
achieved through two key features: 1) a feedback operational amplifier (op-amp)
based circuit that ensures precise voltage application on the memristor while
converting the passing current into a voltage signal; 2) a division calculation
circuit that acquires state information from the modulation voltage and the
converted voltage, improving stability by leveraging the intrinsic threshold
characteristics of memristors. This circuit has been evaluated in a
memristor-based nociceptor and a memristor crossbar, demonstrating exceptional
performance. For instance, it achieves mean absolute acquisition errors below 1
{\Omega} during the modulation process in the nociceptor application. These
results demonstrate that the proposed circuit can operate at different scales,
holding the potential to enhance a wide range of neuromorphic applications.
