Analyzing Large Datasets of Rat Behavioral Neurophysiology
The primary scientific question addressed by this laboratory is that of how information is processed in neural systems. To do that, the researchers record from large ensembles of neurons from awake, behaving rats. Some analyses of these data are large and require supercomputer processing speed and size. Examples of such analyses are:
- Image tracking rat behavior to convert from video to identify head and body location of the rat. (Requires image fitting repeated over hundreds of thousands of video frames.)
- Neurophysiological spikes sorting (clustering algorithms applied to millions of data points).
- Spectral and cross-spectral analyses (applied to dozens of channels, each sampled at 2 kHz for an hour+).
- Interactions between the three components. (For example, spectral anlyses applied to behavioral signals.)
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