DeCalciOn: A hardware system for real-time decoding ofin-vivocalcium imaging data
bioRxiv (Cold Spring Harbor Laboratory)(2022)
摘要
AbstractEpifluorescence miniature microscopes (“miniscopes”) are widely used forin vivocalcium imaging of neural population activity. Imaging data is usually collected while subjects are engaged in a task and stored for later offline analysis, but emerging techniques for online imaging offer potential for novel real-time experiments in which closed-loop interventions (such as neurostimulation or sensory feedback) are triggered at short latencies in response to neural population activity. Here we introduceDeCalciOn, a plug-and-play hardware device for online population decoding ofin vivocalcium signals that can trigger closed-loop feedback at millisecond latencies, and is compatible with miniscopes that use the UCLA Data Acquisition (DAQ) interface. In performance tests, the position of rats (n=13) on a linear track was decoded in real time from hippocampal CA1 population activity by 24 linear classifiers. DeCalciOn required <2.5 ms after each end-of-frame to decode up to 1,024 calcium traces and trigger TTL control outputs. Decoding was most efficient using a ‘contour-free’ method of extracting traces from ROIs that were unaligned with neurons in the image, but ‘contour-based’ extraction from neuronal ROIs is also supported. DeCalciOn is an easy-to-use system for real-time decoding of calcium fluorescence that enables closed-loop feedback experiments in behaving animals.
更多查看译文
关键词
of<i>in-vivo</i>calcium,imaging,hardware system,real-time
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要