Active Queue Management(AQM) is an effective method to improve the performance of end-to-end congestion control. Several AQM schemes have been proposed to provide low delay and low loss service in best-effort networks in recent studies. This paper presents a generic framework which encompasses RED, P, PI, PIP, PD, SMVS, REM, AVQ as special cases by using Single neuron-based PID control. In addition, the framework expands the current AQM controllers by augmenting the update laws of packet-drop probability and provides an adaptive mechanism. Based on this framework and adaptive mechanism, we develop an adaptive single neuron-based PI controller. Simulation studies under a variety of network and traffic situations indicate that the proposed scheme exhibits more robust and adaptive congestion control behavior than the prior schemes.