主讲人: 程龙珍、肖凯
时间: 10月7日(周六),16:30-18:00
地点: 琳恩图书馆111报告厅
时间:10月7日(周六),16:30-18:00
地点:琳恩图书馆111报告厅
题目:Dissection of brain-spinal opioidergic pathways controlling mechanical OIH and tolerance
主讲:程龙珍 (生命科学学院助理教授)
摘要:
Despite rigorous research on non-opioid pain-relief drugs, morphine and other opioid drugs remain clinically indispensable for treating moderate-to-severe chronic pain. However, repeated or chronic use of morphine and other opiates could cause two major side effects: opioid-induced hypersensitivity (OIH) and analgesic tolerance. OIH and tolerance are the primary causes of dose escalation and diminished pain control. In both human patients and animal models, OIH and tolerance mainly exhibit two forms: mechanical and thermal. Among the different forms of OIH and tolerance, the mechanisms underlying mechanical OIH and tolerance remain unresolved. Here we will discuss several brain–to–spinal opioidegic systems that controls repetitive morphine-induced mechanical, but not thermal forms of OIH and tolerance.
题目:Neuro-inspired materials and brain-like computing devices
主讲:肖凯 (生物医学工程系副教授)
摘要:
In Nature, the transmission and processing of information, as well as the energy conversation and storage are often mediated and regulated using ions and fluids transportation at small scales (for example nanopores). It can be said that the language of intelligent life is "ions", and the language of artificial intelligence is "electrons". In order to realize seamless communications between intellectual life and artificial intelligence, it is necessary to build an artificial intelligence system with “ions” as language. In the nanoscale, we should fabricate artificial nanopores to realize controllable ions transport, which is common in biological nanopores. On the microscale, building an artificial neuron to replicate the generation of the action potential by ion transport is significant. On the macroscale, constructing a bioinspired neural network is necessary to realize ionic signal transmission and information storage. On this basis, our further plan is to realize ion transport-based wearable devices, artificial neurons, and brain-computer interface electrodes, and finally to achieve the seamless communication between artificial intelligence and biological intelligence.