Artificial neural networks
Recent articles
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.
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.
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.
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.
Explore more from The Transmitter
Five new neuroscience books, and other notable titles from 2026
The Transmitter’s summer reading list includes an autopsy of the Human Brain Project, an overview of the neuroscience of motherhood and a memoir from a pioneer in Huntington’s disease research.
Five new neuroscience books, and other notable titles from 2026
The Transmitter’s summer reading list includes an autopsy of the Human Brain Project, an overview of the neuroscience of motherhood and a memoir from a pioneer in Huntington’s disease research.
Biomarkers for autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 24 August.
Biomarkers for autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 24 August.
How, when and why to use agentic AI in our neuroscience labs
With agentic AI’s rapid infiltration into science, researchers need to develop AI use policies and practices.
How, when and why to use agentic AI in our neuroscience labs
With agentic AI’s rapid infiltration into science, researchers need to develop AI use policies and practices.