培养神经网络发展数据库

Xiangning Li, J. Pu, Geng Zhu, Wenjuan Chen, Wei Zhou, Qingming Luo
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引用次数: 1

摘要

一般认为神经元放电模式的变异性对神经系统的连通性有重要影响,但这种影响尚未得到充分的研究。这个具有挑战性的研究领域涉及神经科学、计算机科学和生物医学工程等领域的紧密合作。为了与其他实验人员和分析人员分享我们的数据和方法,我们设计并实现了一个数据库(http://bmp.hust.edu.cn/neuro_db/),其中包括在多电极阵列上培养的神经网络记录的超过6000 GB的数据。这些数据大多是50个培养物在发育过程中的自发活动。这里介绍的数据库为探索神经发育和神经编码提供了一个重要的工具,从而使神经科学家能够更有效地共享和管理数据。KeywordsNeuronal网络;发展;体外;多级阵列
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Database for Development of the Cultured Neuronal Network
It is generally assumed that the variability of neuronal firing pattern has an important effect on the connectivity of the nervous system, but this effect has not been thoroughly investigated. This challenging research area involves a tight cooperation of neuroscience, computer science, and biomedical engineering among others. In order to share our data and methods with the other experimenters and analysts, we have designed and implemented a database (http://bmp.hust.edu.cn/neuro_db/) including over 6000 GB data recorded from cultured neuronal networks on multi-electrode array. Most of these data were spontaneous activities of 50 cultures during development. The database presented here provides a crucial tool to explore neural development and neural coding, thus enables neuroscientists to share and manage data with greater efficiency. KeywordsNeuronal network; development; in vitro; multielectrode arrays
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