Open neuroscience
Recent articles
Tracing neuroscience’s family tree to track its growth
By mapping connections among researchers, Neurotree makes it possible to see how the field has evolved and how shifts in lab size, publication rates and training, among other factors, shape its direction.
Tracing neuroscience’s family tree to track its growth
By mapping connections among researchers, Neurotree makes it possible to see how the field has evolved and how shifts in lab size, publication rates and training, among other factors, shape its direction.
A community-designed experiment tests open questions in predictive processing
More than 50 scientists came together to identify the key missing data needed to rigorously test theoretical models.
A community-designed experiment tests open questions in predictive processing
More than 50 scientists came together to identify the key missing data needed to rigorously test theoretical models.
First Pan-African neuroscience journal gets ready to launch
With lower-than-average article processing fees, and issues dedicated to topics important to the continent, the journal hopes to give African neuroscience research much-needed international visibility.
First Pan-African neuroscience journal gets ready to launch
With lower-than-average article processing fees, and issues dedicated to topics important to the continent, the journal hopes to give African neuroscience research much-needed international visibility.
Reproducibility is a team sport: Lessons from a large-scale collaboration
Building reproducible systems across labs is possible, even in large-scale neuroscience projects. You just need rigor, collaboration and the willingness to look your own practices dead in the eye.
Reproducibility is a team sport: Lessons from a large-scale collaboration
Building reproducible systems across labs is possible, even in large-scale neuroscience projects. You just need rigor, collaboration and the willingness to look your own practices dead in the eye.
Deleting data or stopping its collection will erase years of valuable brain research
An explosion in open-neuroscience datasets has created a new generation of researchers with expertise in data science. But new federal restrictions in the United States put their research programs in jeopardy.
Deleting data or stopping its collection will erase years of valuable brain research
An explosion in open-neuroscience datasets has created a new generation of researchers with expertise in data science. But new federal restrictions in the United States put their research programs in jeopardy.
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.
Neuroscience’s open-data revolution is just getting started
Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
To make a meaningful contribution to neuroscience, fMRI must break out of its silo
We need to develop research programs that link phenomena across levels, from genes and molecules to cells, circuits, networks and behavior.
To make a meaningful contribution to neuroscience, fMRI must break out of its silo
We need to develop research programs that link phenomena across levels, from genes and molecules to cells, circuits, networks and behavior.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Learning scientific rigor: Q&A with Konrad Kording and Hao Ye
The developers of a new open-access curriculum to teach rigor discuss confirmation bias and other common errors in scientific thinking, plus ways to avoid these missteps.
Learning scientific rigor: Q&A with Konrad Kording and Hao Ye
The developers of a new open-access curriculum to teach rigor discuss confirmation bias and other common errors in scientific thinking, plus ways to avoid these missteps.
Explore more from The Transmitter
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
The leaders we have lost
Learn more about the lives and legacies of the neuroscientists who passed away between 2023 and 2025.
The leaders we have lost
Learn more about the lives and legacies of the neuroscientists who passed away between 2023 and 2025.
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.