  Diffusion-based and neural communication are two interesting domains in
molecular communication. Both of them have distinct advantages and are
exploited separately in many works. However, in some cases, neural and
diffusion-based ways have to work together for a communication. Therefore, in
this paper, we propose a hybrid communication system, in which the
diffusion-based and neural communication channels are contained. Multiple
connection nano-devices (CND) are used to connect the two channels. We define
the practice function of the CNDs and develop the mechanism of exchanging
information from diffusion-based to neural channel, based on the biological
characteristics of the both channels. In addition, we establish a brief
mathematical model to present the complete communication process of the hybrid
system. The information exchange process at the CNDs is shown in the
simulation. The bit error rate (BER) indicator is used to verify the
reliability of communication. The result reveals that based on the biological
channels, optimizing some parameters of nano-devices could improve the
reliability performance.
