Artificial neural networks

Recent articles

Neural networks illustration.

This paper changed my life: Appreciating John Hopfield’s brilliant neural network

In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.

By Maria Geffen
15 May 2026 | 5 min read

Kim Stachenfeld on the dance between neuroscience and artificial intelligence

As a researcher at both Google DeepMind and Columbia University, Stachenfeld offers cross-disciplinary insight into how to understand the brain.

By Paul Middlebrooks
11 September 2024 | 93 min listen

Explore more from The Transmitter

Illustration of differing lines of data.

Eighteen teams analyzed the same neurophysiology dataset—and got wildly different answers

The “Brainhack” hackathon revealed that disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data.

By Gaëlle Chapuis, Mattia Chini
1 June 2026 | 7 min read
Research image of inputs into a single neuron in the mouse visual cortex.

‘Unbelievably beautiful’ evidence extends Nobel Prize-winning model of vision

Orientation tuning—the ability to distinguish a horizontal line from a vertical one or something in between—originates in the visual cortex, according to new mouse synapse imaging experiments.

By Claudia López Lloreda
29 May 2026 | 5 min read
Illustration of people connecting basic science.

Bringing basic biology back to INSAR

As the International Society for Autism Research has grown over the past two decades, basic science has become less central, Christine Wu Nordahl says. This year, she and other meeting organizers aimed to change that.

By Diana Kwon
28 May 2026 | 6 min read