用于时间戳驱动神经科学实验的模块化采集和刺激系统
Modular Acquisition and Stimulation System for Timestamp-Driven Neuroscience Experiments
摘要：
专用系统是神经科学实验协议的基础，需要定时确定性和同步刺激生成。我们开发了一个用于神经科学研究的数据采集和刺激发生器系统，该系统针对记录最多6个尖峰神经元的时间戳进行了优化，并完全以高级硬件描述语言（HDL）指定。尽管从这样的语言合成的逻辑复杂性的惩罚，它是可能的，以实现我们的设计在一个低成本的小型可重构设备。在一个模块化的框架下，我们探索了两种不同的内存仲裁方案，我们的系统，评估他们的逻辑元素的使用和输入活动突发的弹性。其中一个是采用解耦和延迟不敏感的方法设计的，允许更容易的代码重用，而另一个则采用了专门为我们的应用程序构建的集中式方案。高级HDL的使用允许直接和逐步的代码修改，以将一种架构转换为另一种架构。所实现的模块化是非常有用的快速原型新颖的电子仪器系统定制的科学研究。
英文摘要：
Dedicated systems are fundamental for neuroscience experimental protocols that require timing determinism and synchronous stimuli generation. We developed a data acquisition and stimuli generator system for neuroscience research, optimized for recording timestamps from up to 6 spiking neurons and entirely specified in a high-level Hardware Description Language (HDL). Despite the logic complexity penalty of synthesizing from such a language, it was possible to implement our design in a low-cost small reconfigurable device. Under a modular framework, we explored two different memory arbitration schemes for our system, evaluating both their logic element usage and resilience to input activity bursts. One of them was designed with a decoupled and latency insensitive approach, allowing for easier code reuse, while the other adopted a centralized scheme, constructed specifically for our application. The usage of a high-level HDL allowed straightforward and stepwise code modifications to transform one architecture into the other. The achieved modularity is very useful for rapidly prototyping novel electronic instrumentation systems tailored to scientific research.
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