MANTA-an open-source, high density electrophysiology recording suite for MATLAB
MANTA-an open-source, high density electrophysiology recording suite for MATLAB
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DOI：
10.3389/fncir.2013.00069
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发表时间：
2013-05-06
影响因子：
3.5
通讯作者：
Shamma, S. A.
中科院分区：
文献类型：
--
作者：
Englitz, B.;David, S. V.;Shamma, S. A.
神经系统的分布特性使得破译神经密码需要从大量的位置进行记录，无论是单细胞、局部场电位(LFP)、微皮层脑电(Mu ECoG)、脑电(EEG)、脑磁图(MEG)还是体外微电极阵列(MEA)数据。高通道数记录还可以优化制剂的产量和研究人员投入的时间效率。目前，具有高通道数(>；100)的数据采集(DAQ)系统可以从数量有限的公司以相当高的价格购买。这些系统通常是开源的，因此禁止终端用户进行定制扩展或改进。我们已经开发了MANTA，这是一个基于MATLAB的开源DAQ系统，作为现有选项的替代方案。MANTA结合了高通道数(高达1440个通道/PC)、模拟或数字前台的使用、低每通道成本(1年，从128个通道可靠地记录)。它提供了越来越多的功能，包括集成的尖峰分类、PSTH和CSD显示以及完全可定制的电极阵列几何结构(包括3D阵列)，其中一些是商业系统所不具备的。MANTA在一台典型的PC上运行，通过TCP/IP进行通信，因此可以很容易地与实验室中现有的刺激产生/控制系统集成，而成本只有商业系统的一小部分。随着现代神经科学的快速发展，MANTA提供了一个灵活的平台，可以快速适应新的分析和问题的需求。由于是开源的，MANTA的开发可以在功能上超过商业解决方案，同时保持较低的价格点。
The distributed nature of nervous systems makes it necessary to record from a large number of sites in order to decipher the neural code, whether single cell, local field potential (LFP), micro-electrocorticograms (mu ECoG), electroencephalographic (EEG), magnetoencephalographic (MEG) or in vitro micro-electrode array (MEA) data are considered. High channel-count recordings also optimize the yield of a preparation and the efficiency of time invested by the researcher. Currently, data acquisition (DAQ) systems with high channel counts (>100) can be purchased from a limited number of companies at considerable prices. These systems are typically closed-source and thus prohibit custom extensions or improvements by end users. We have developed MANTA, an open-source MATLAB-based DAQ system, as an alternative to existing options. MANTA combines high channel counts (up to 1440 channels/PC), usage of analog or digital headstages, low per channel cost (1 year, recording reliably from 128 channels. It offers a growing list of features, including integrated spike sorting, PSTH and CSD display and fully customizable electrode array geometry (including 3D arrays), some of which are not available in commercial systems. MANTA runs on a typical PC and communicates via TCP/IP and can thus be easily integrated with existing stimulus generation/control systems in a lab at a fraction of the cost of commercial systems. With modern neuroscience developing rapidly, MANTA provides a flexible platform that can be rapidly adapted to the needs of new analyses and questions. Being open-source, the development of MANTA can outpace commercial solutions in functionality, while maintaining a low price-point.