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What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
Researchers retract multisensory learning paper after failed replications
Even though one set of experiments did not hold up, the authors stand by the original conclusions of the work and plan to resubmit it as a new paper.
Researchers retract multisensory learning paper after failed replications
Even though one set of experiments did not hold up, the authors stand by the original conclusions of the work and plan to resubmit it as a new paper.
Lack of reviewers threatens robustness of neuroscience literature
Simple math suggests that small groups of scientists can significantly bias peer review.
Lack of reviewers threatens robustness of neuroscience literature
Simple math suggests that small groups of scientists can significantly bias peer review.
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.
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.
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.”
Frameshift: Shari Wiseman reflects on her pivot from science to publishing
As chief editor of Nature Neuroscience, Wiseman applies critical-thinking skills she learned in the lab to manage the journal’s day-to-day operations.
Frameshift: Shari Wiseman reflects on her pivot from science to publishing
As chief editor of Nature Neuroscience, Wiseman applies critical-thinking skills she learned in the lab to manage the journal’s day-to-day operations.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
What are the most-cited neuroscience papers from the past 30 years?
Highly cited papers reflect the surge in artificial-intelligence research in the field and other technical advances, plus prizewinning work on analgesics, the fusiform face area and ion channels.
What are the most-cited neuroscience papers from the past 30 years?
Highly cited papers reflect the surge in artificial-intelligence research in the field and other technical advances, plus prizewinning work on analgesics, the fusiform face area and ion channels.
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?