Опубликована: Ноя. 25, 2024

We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it multi-region measurement, but because the imaging done post-mortem, each only provides one set of counts. Experiments are expensive and cells counted by aligning large number brain sections, they time-intensive. The resulting datasets tend to be under-sampled with fewer animals than regions. As consequence, these challenge for traditional statistical approaches. demonstrate that hierarchical Bayesian methods well suited presenting ‘standard’ partially-pooled model applying two example datasets. For both outperformed standard parallel t-tests. Overall, approach’s ability capture nested its rigorous handling uncertainty in substantially improve inference data.

Язык: Английский