The Transmitter: Neuroscience News and Perspectives
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When autistic kids grow up, Chapter 1: Those people
Supported by a $40 million NIH grant, Yale brain shuttle technology raises questions
What counts as a ‘naturalistic’ behavior?
If it works, then other labs are going to want to pick up on it and try it in their hands.
— MARK ZYLKA, PROFESSOR OF CELL BIOLOGY AND PHYSIOLOGY, UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Read more
When autistic kids grow up, Chapter 1: Those people
Oregon primate center scientists fight proposed sanctuary transition
Manifestantes argentinos denuncian el recorte al financiamiento científico
Argentine protesters condemn science funding shortfall
The ‘secretly awesome’ side of a teaching career
The next unit of science: Is the scientific paper due to be replaced?
European Research Council backtracks on stricter grant resubmission rules
A brief history of precision self-scanning
When a researcher solved a logistical problem by going rogue, the idea proved remarkably infectious.
The state of neuroscience in 2025: An overview
The Transmitter presents a portrait of the field through four lenses: its focus, its output, its people and its funding.
What a bird’s-eye view of half a million papers reveals about neuroscience
Researchers retract multisensory learning paper after failed replications
Lack of reviewers threatens robustness of neuroscience literature
The Transmitter’s most-read neuroscience book excerpts of 2025
The Transmitter ’s Rising Stars of Neuroscience 2025
We recognize the outstanding achievements of 25 neuroscientists who stand to shape the field for years to come.
The Transmitter’s New Lab Directory
Diving in with Nachum Ulanovsky
Long-sought walking circuit found in fruit flies
To understand decision-making, we need to truly challenge lab animals
Error equation predicts brain’s ability to generalize
‘Digital sphinx’ raises questions about connectome models
‘The Brain, In Theory,’ an excerpt
David Sussillo on persistence, luck and the bonds between life and work
‘The Fox, the Shrew, and You: How Brains Evolved,’ an excerpt
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
The visual system’s lingering mystery: Connecting neural activity and perception
Figuring out how the brain uses information from visual neurons may require new tools. I asked 10 neuroscientists what experimental and conceptual methods they think we’re missing.