Abstract: A digital controlled neuron circuit which mimics properties of biological neuron is presented using 0.18 μm CMOS technology. Compared with other neuron circuits, the proposed one does not require a bias voltage, which facilitates circuit control and is beneficial to large-scale integration. Under the control of digital signals, the proposed circuit can easily generate four types of firing patterns: Regular Spiking (RS), Fast Spiking (FS), Chattering (CH), and Intrinsic Bursting (IB). In addition, we design an excitatory synapse circuit whose synaptic weight can be adjusted according to Spike Driven Synaptic Plasticity (SDSP) learning algorithm. Furthermore, we implement Pavlov experiment with three neurons and two synapses. The experimental result demonstrates that this neuron circuit supports SDSP learning algorithm and can be used in neuromorphic hardware.