The Transmitter: Neuroscience News and Perspectives
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A new atlas of abstracts visualizes the field of human brain mapping—where does your work fit?
The illusion of AI consciousness: Lessons from human unconscious processing
‘Push-pull’ recipe for neural wiring used in multiple brain regions
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— VANESSA HADID, KARIM JERBI, JOHN W. KRAKAUER READ MORE
‘Push-pull’ recipe for neural wiring used in multiple brain regions
Exclusive: Brain and spinal cord institute halts research, citing funding problems
Supported by a $40 million NIH grant, Yale brain shuttle technology raises questions
Oregon primate center scientists fight proposed sanctuary transition
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
Reward-learning algorithm hardwired into dopamine circuit
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
‘The Brain, In Theory,’ an excerpt
‘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.