The ongoing exponential rise in recording capacity calls for new approaches for analysing
and interpreting neural data. Effective dimensionality has emerged as an important property …

Our planet is experiencing severe and accelerating climate and ecological breakdown
caused by human activity. As professional scientists, we are better placed than most to …

As the global health crisis unfolded, many academic conferences moved online in 2020.
This move has been hailed as a positive step towards inclusivity in its attenuation of …

This review offers an accessible primer to social neuroscientists interested in neural
networks. It begins by providing an overview of key concepts in deep learning. It then …

As science and technology evolve, there is an increasing need for promotion of international
scientific exchange. Collaborations, while offering substantial opportunities for scientists and …

Neuroscience education is at an impasse—we need to teach students coding, but many
institutions do not have the resources to do so. Here, I outline three major barriers, as well as …

Neuroscience research has evolved to generate increasingly large and complex
experimental data sets, and advanced data science tools are taking on central roles in …

Inclusion at academic events is facing increased scrutiny as the communities these events
serve raise their expectations for who can practically attend. Active efforts in recent years to …

In this review article, we present the major insights from and challenges faced in the
acquisition, analysis and modeling of astrocyte calcium activity, aiming at bridging the gap …

ABSTRACT A predicted rapid growth in science, technology, engineering, and math (STEM)
careers demands a vast and talented workforce, but students most commonly abandon …