Neuromorphic VLSI is an important tool for investigating and implementing neural algorithms. The DPI-neuron analog implementation of neural network in silicon is the real-time conductance-based that has the low power consumption. This circuit implemented Exponential Integrated-and-Fire model that produces real time spiking behavior. In this paper we modify DPI-neuron circuit which can be produce different type of behavior biological neuron. It is suitable for applications in reconfigurable

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... morphic devices which implement biologically brain circuits. This circuit is simulated by HSPICE software in 0.35m CMOS technology with supply voltage 3.3Volt.