Tech News 1: A flexible Bayesian framework for unbiased estimation of timescales

[bob_turner]

An international team of researchers from Tübingen and Cold Spring Harbor (New York) has found a pioneering way of determining at what pace changes typically happen. The new method avoids previous systematic errors in estimating timescales, for example, of neural activity in the brain. First applications of the method to neural recordings from the visual cortex highlight it as a powerful tool for neuroscience and many other disciplines.

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