Open science
Recent articles
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take steps to curb this practice.
Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind
Most studies of neurological disorders in mice erroneously treat multiple samples from a single animal as independent replicates, according to a new analysis. But scientists and journals can take steps to curb this practice.
Addressing the lack of infrastructure and training that stymies African neuroscience
A newly launched research center in Nigeria could offer a model for expanding neuroscience across the continent.
Addressing the lack of infrastructure and training that stymies African neuroscience
A newly launched research center in Nigeria could offer a model for expanding neuroscience across the continent.
Explore more from The Transmitter
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?
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.