A Computational Model of the Hybrid Bio-Machine MPMS for Ratbots Navigation

As a typical cyborg intelligent system, ratbots possess not only their own biological brain but machine visual sensation, memory, and computation. Electrodes implanted in the medial forebrain bundle (MFB) connect the rat´s biological brain with the computer, which presents a hybrid bio-machine parallel memory system in the ratbot. For the novel multiple parallel memory system (MPMS) with real-time MFB stimuli, a computational model is proposed to explain the learning and memory processes underlying the enhanced performance of the ratbots in maze navigation tasks. It´s shown that the proposed computational model can predict the finish trial number of the maze learning task, which matches well with behavioral experiments. This work will be helpful to understand the memory and learning mechanisms of cyborg intelligent systems and has the potential significance of optimizing the cognitive performance of these systems as well.