Discover grants, fellowships and funding opportunities for neuroscience research at all career stages.

Website for the Bayesian Workflow book by Gelman, Vehtari, McElreath, et al. — case studies, code, and exercises in R and Stan.

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

ALT: Winnie the Pooh and the Heffalump

Brandon Brown sees parallels between life as an academic and tending a citrus grove following his move to the country.

There are a few small tweaks you can make to your ggplot2 code to improve your charts. However, they’re not often mentioned. So here’s a few functions and arguments I wish I’d known about earlier.

Failure is part and parcel of research, but discussing it sometimes seems to be taboo in science. It doesn’t need to be.

Beware the tech leaders making grandiose statements about artificial intelligence. They have lost sight of reality, says Philip Ball

Great Docs lets you easily build a Python package docs site - posit-dev/great-docs

Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.

The aperiodic component of brain field potentials (EEG, LFP, intracortical recordings) is increasingly being recognized as an important topic in both basic and clinical neuroscience. Aperiodic activit...