  In the last decade, the interest to emulation of the functionality and
structure of the human brain to solve the problems related to image processing
and pattern recognition, especially using to Artificial Neural Network (ANN),
has increased. Since the capability of ANN to compute at high-speed has been
proven to be very useful for various computational problems. One of the simple
ANN models is perceptron. Since the perceptron is the basic form of a neural
network, the efficient implementation of analog activation functions is
required. As various works introduce the design of sigmoid and tangent
activation functions, the other activation functions remain an open research
problem. This paper describes the design of the perception circuit with the
linear activation function using operational amplifier and memristive crossbar.
Additionally, the variation of performance with temperature, noise of the
circuit is presented.
