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NEURAL NETWORK ELECTRICAL ACTIVITY DETECTION SYSTEM AND SCREENING METHOD FOR NEUROPSYCHIATRIC DRUGS BASED ON SYSTEM

机译:基于该系统的神经网络药物活性检测系统及筛选方法

摘要

A neural network electrical activity detection system and a screening method for neuropsychiatric drugs based on the system. The detection system mainly consists of a neural network system constructed in vitro, a photoelectric signal conversion system, and a monitoring and analysis system. On this basis, the detection system can also be used for theoretical research of a nervous system and early screening and testing of potential neuropsychiatric drugs. In the detection system, a neural network is constructed in vitro, which facilitates large-scale preparation; a pathological neural network model can be established, stimulation intervention is not required, the natural physiological working state of the neural network can be kept, network electrical activities can be regulated and controlled in a certain range, drug targets can be introduced by means of viruses, electric signals are converted into optical signals, a collection system is simplified, costs are reduced, high-throughput screening is easy to implement, high-throughput data analysis is performed by means of targeted software, labor costs are reduced, and the present invention has a very good prospect.
机译:神经网络电活动检测系统和基于该系统的神经精神药物筛选方法。该检测系统主要由体外构建的神经网络系统,光电信号转换系统和监测分析系统组成。在此基础上,该检测系统还可用于神经系统的理论研究以及潜在的神经精神药物的早期筛查和测试。在检测系统中,体外构建了神经网络,便于大规模制备。可以建立病理神经网络模型,不需要刺激干预,可以保持神经网络的自然生理工作状态,可以在一定范围内调节和控制网络电活动,可以通过病毒引入药物靶标,将电信号转换成光信号,简化了采集系统,降低了成本,易于实现高通量筛选,通过目标软件进行了高通量数据分析,降低了人工成本,本发明有很好的前景。

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