Different from the von Neumann architecture in computers, our brain has more powerful properties including fault tolerance, ability to develop and learn as well as low power consumption. These characteristics make brain-like computation a very interesting topic to investigate. Varies kind of devices such as resistive memory, organic field effect transistor (OFET) with proton transfer dielectric or organic electrical chemical transistor (OECT) has demonstrated their potentials to mimic the signal transfer pattern at the synapse between neurons. In the current presentation, I will focus on the integration of the OECT devices to develop non- von Neumann circuits to mimic the processing system in the human brain under different external stimulations. The PEDOT with different doping levels of poly(tetrahydrofuran) (PTHF) will be used to regulate their paired-pulse facilitation and the synaptic plasticity of each OECT devices in the circuit. Compared with the transistors based on undoped PEDOT:PSS, the decay time constants of the excitatory post-synaptic current (EPSC) show orders of magnitude increase. Different OECT sensors will be connected to the OECT neuromorphic circuit as the triggering input to mimic the receptors on our skin. The proposed device structure can be employed as a standard configuration for neuromorphic computing with external stimulation inputs.