Dimensionality reduction in neural data analysis – xcorr: comp neuro
It’s become commonplace to record from hundreds of neurons simultaneously. If past trends extrapolate, we might commonly record 10k neurons by 2030. What are we going to do with all this data…
It’s become commonplace to record from hundreds of neurons simultaneously. If past trends extrapolate, we might commonly record 10k neurons by 2030. What are we going to do with all this data? Neural dynamics tend to be lower-dimensional than the number of neurons recorded would suggest – Humphries (2020) reports 10X to 100X compression depending on the area and task. Humphries suggests, with the strong principle of neural dimensionality reduction, that dimensionality reduction can show us the true underlying signal embodied by the neural circuit. Even if we don’t fully believe in this…
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