Multi-scale approaches for high-speed imaging and analysis of large neural populations.

ABSTRACT: Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with cellular spatial and high temporal resolution. However, two bottlenecks constrain efforts towards fast imaging of large populations. First, the resulting large video data is challenging to analyze. Second, there is an explicit tradeoff between imaging speed, signal-to-noise, and field of view: with current recording technology we cannot image very large neuronal populations with simultaneously high spatial and temporal resolution. Here we describe multi-scale approaches for alleviating both of these bottlenecks. First, we show that spatial and temporal decimation techniques based on simple local averaging provide order-of-magnitude speedups in spatiotemporally demixi

SUBMITTER: Friedrich J 

PROVIDER: S-EPMC5557609 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature