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

Are computational complexity principles relevant for explaining brain activity?

Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.

By Paul Middlebrooks
17 June 2026 | 1 min read
Illustration of cells converting from fibroblasts to myoblasts.

This paper changed my life: Learning the molecular rules of cell identity

A 1987 Cell paper showed that a single transcription factor could turn fibroblasts into muscle cells. The work inspired Ardem Patapoutian to think about the molecular codes that define neuronal subtypes.

By Ardem Patapoutian
17 June 2026 | 6 min read

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