Real-time neuron detection and neural activity extraction are critical components of real-time neural decoding. In this paper, we propose a novel real-time neuron detection and activity extraction system using a dataflow framework to provide real-time performance and adaptability to new algorithms and hardware platforms. The proposed system was evaluated on simulated calcium imaging data, calcium imaging data with manual annotation, and calcium imaging data of the anterior lateral motor cortex. We found that the proposed system accurately detected neurons and extracted neural activities in real time without any requirement for expensive, cumbersome, or special-purpose computing hardware. We expect that the system will enable cost-effective, real-time calcium imaging-based neural decoding, leading to precise neuromodulation.

中文翻译：

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用于微型钙成像的实时神经元检测和神经信号提取平台

实时神经元检测和神经活动提取是实时神经解码的关键组成部分。在本文中，我们提出了一种使用数据流框架的新型实时神经元检测和活动提取系统，以提供实时性能和对新算法和硬件平台的适应性。所提出的系统在模拟钙成像数据、带有手动注释的钙成像数据和前外侧运动皮层的钙成像数据上进行了评估。我们发现所提出的系统可以准确地检测神经元并实时提取神经活动，而无需昂贵、笨重或专用的计算硬件。我们希望该系统能够实现经济高效、基于实时钙成像的神经解码，从而实现精确的神经调节。