2025: Year in review
Recent articles
The Transmitter’s most-read neuroscience book excerpts of 2025
Books by Nachum Ulanovsky, Nicole Rust, and Andrew Iwaniuk and Georg Striedter made the list of some of the year's most engaging neuroscience titles.
The Transmitter’s most-read neuroscience book excerpts of 2025
Books by Nachum Ulanovsky, Nicole Rust, and Andrew Iwaniuk and Georg Striedter made the list of some of the year's most engaging neuroscience titles.
Neuroscience’s leaders, legacies and rising stars of 2025
Here are seven stories from the past year about some of the field’s most engaging figures.
Neuroscience’s leaders, legacies and rising stars of 2025
Here are seven stories from the past year about some of the field’s most engaging figures.
The Transmitter’s top news articles of 2025
Check out some of our most-read stories, covering neuroscience funding and policy changes in the United States, and methodological issues in high-profile neuroscience papers.
The Transmitter’s top news articles of 2025
Check out some of our most-read stories, covering neuroscience funding and policy changes in the United States, and methodological issues in high-profile neuroscience papers.
Spectrum 2025: Year in review
Revisit some of the conversations and debates—on topics from leucovorin to the gut microbiome—that have shaped autism research in the past 12 months.
Spectrum 2025: Year in review
Revisit some of the conversations and debates—on topics from leucovorin to the gut microbiome—that have shaped autism research in the past 12 months.
The best of ‘this paper changed my life’ in 2025
From a study that upended astrocyte research to one that reignited the field of spiking neural networks, experts weighed in on the papers that significantly shaped how they think about and approach neuroscience.
The best of ‘this paper changed my life’ in 2025
From a study that upended astrocyte research to one that reignited the field of spiking neural networks, experts weighed in on the papers that significantly shaped how they think about and approach neuroscience.
Talking shop: The Transmitter’s top quotes of 2025
Find out what “may be one of the brain’s most underappreciated superpowers” and why it’s so crucial to “talk about our research in our everyday lives.”
Talking shop: The Transmitter’s top quotes of 2025
Find out what “may be one of the brain’s most underappreciated superpowers” and why it’s so crucial to “talk about our research in our everyday lives.”
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
Explore more from The Transmitter
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.