Neuro education

Recent articles

Essays on how to better train and teach the next generation of neuroscientists.

Illustration of chair and a desk made of open data.

How to incorporate open-science practices into neuroscience training

If we want emerging neuroscientists to implement open science throughout their careers, we need to establish its practices as a core principle of training.

By Kaitlyn Casimo
10 June 2026 | 6 min read
Stack of books illustration.

Reforming neuroscience graduate education for—and with—AI

In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.

By Tari Tan
19 May 2026 | 7 min read
Illustration of a laptop computer superimposed over a scroll.

‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries

Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.

By Nora Bradford
26 March 2026 | 5 min read
Illustration of a sheet of paper with many holes punched out of it.

Let’s teach neuroscientists how to be thoughtful and fair reviewers

Blanco-Suárez revamped the traditional journal club by developing a course in which students peer review preprints alongside the published papers that evolved from them.

By Elena Blanco-Suárez
6 March 2026 | 6 min read

Explore more from The Transmitter

Leucovorin saga, and more

Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.

By Jill Adams
16 June 2026 | 2 min read
Illustration of pixelated AI models.

Models at the speed of thought: How AI coding is reshaping theoretical neuroscience

Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.

By Brian DePasquale
16 June 2026 | 17 min read
Illustration of pixelated eye and stacks of paper

Writing science that humans and machines can read

Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.

By Rachel Parkinson
15 June 2026 | 7 min read