Neuroscientists using AI

Recent articles

Learn about the myriad ways researchers are employing these tools, along with tips for how to responsibly adopt them.

A hand moves a square within a set of squares in a consistent gradient, while a hand of lines representing computation passes through.

How to collaborate with AI

To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.

By Kenneth Harris
19 January 2026 | 6 min read
A scientist chases falling code with a butterfly net in a spare landscape with beautiful high clouds.

AI-assisted coding: 10 simple rules to maintain scientific rigor

These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.

By Russell Poldrack
16 December 2025 | 7 min read
Hands hold a scroll-like object made of ones and zeroes.

How neuroscientists are using AI

Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.

By The Transmitter
4 November 2025 | 15 min read

Subscribe to get notified every time a new “Neuroscientists using AI” piece is published.

Explore more from The Transmitter

Clockwise: lab mouse, zebrafish, octopus, rat pushing a cube, nematodes, fruit fly.

The term ‘model organism’ should be reserved for biological systems

By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.

By Marc Coutanche
13 November 2026 | 6 min read

New phase of BRAIN Initiative spawns basal ganglia ‘parts list’

With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.

By Claudia López Lloreda
12 November 2026 | 1 min watch
Research image showing genes containing microexons in mice.

Machine-learning model spots autism-linked variants that scramble splicing

The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.

By Giorgia Guglielmi
12 November 2026 | 4 min read