Human neurons and neurotransmission mechanisms have been realized in a deep neural network by the theoretical implementations of activation functions. However, recent studies have reported that the threshold potential of neurons exhibited different values by locations and types of individual neurons, and the activation functions have limitations in representing it. Therefore, this study proposes a simple yet effective activation function that exhibits different thresholds and adaptive activation…