An automated calibration system for in vivo neural network study

A feedback control system promises improvements in neuroprosthetic performance and clinical therapies. As the experiments move to chronic, and require longer monitoring time, manual control would be difficult. The calibration process must continuously be repeated due to the variation of the electrophysiological state of the neural network in space and time. To increase the efficiency of these processes, we have developed an automated calibration system. The system is validated in vivo in the hippocampus region. The stimulation voltage threshold is determined through an automatic process. The effects of pulse repetition are observed and realized in `real-time'.