Hybrid Neuroengineering for the Development of Biomedical Intelligence


Student thesis: Doctoral Thesis

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Award date22 Dec 2021


With deepening understanding about central nervous system (CNS) structure and functions, how to interact with the system is an important research direction in neuroengineering. Based on the understanding of CNS, which received information from an individual’s surroundings and emits command to muscles or glands, ensures that the organism adapts optimally to external environment. Except for spontaneous neuronal activity, how to affect and modulate the plasticity among neuronal networks, and how to apply the ability of modulation to biomedical intelligence?

This work answered the questions, both electrophysiology and fluorescence imaging technologies were applied on studying the effects of endogenous and exogenous treatments on neuronal network, from cellular level to organism level. In the endogenous related work, with a designed neuron-controlled hybrid robot navigation system, the biochemical change of neuronal function significantly facilitated neuronal transmission, and enhanced robotic learning. It was evidenced that, the endogenous treatment, neuropeptides could act as a modulator to facilitate learning progress of biohybrid neuron-robots. In the exogenous related work, based on patterned results of multi-chemical treatment experiments, combined with common-used chemical structure and biological targets analyzation methods, it was proved that the exogenous treatments on CNS system could be applied in CNS drug discovery.