Neural delay lines for TDMA based molecular communication in neural networks

Nanonetworking is a multidisciplinary field that draws researchers from diverse disciplines. By enabling communication between nano-machines we can expand the capabilities of a single nano-machine and achieve complicated tasks. Among the various techniques molecular communication is identified as the most promising approach for communication in nanonetworks. Neural network which is composed of neurons is an appropriate option for long range molecular communication. In this paper, we propose a multiplexing and buffering mechanism which utilizes neural delay lines for neural molecular communication. The performance of our model is evaluated by simulations and the results demonstrate significant improvements on the performance when neural delay lines are employed.