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Uncharted territory
Drug companies have been curiously reluctant to dive into research on therapies for autism. The chief of Pfizer's new autism research unit explains why.
Uncharted territory
Drug companies have been curiously reluctant to dive into research on therapies for autism. The chief of Pfizer's new autism research unit explains why.
True blood
Early data suggest that it is possible to identify autism by looking at gene expression in the blood. But it’s going to take more work to prove it.
True blood
Early data suggest that it is possible to identify autism by looking at gene expression in the blood. But it’s going to take more work to prove it.
Database groups common concepts in autism tests
A searchable new database will greatly ease the task of comparing results from more than 25 diagnostic tests for autism, by creating clusters of the various symptoms measured.
Database groups common concepts in autism tests
A searchable new database will greatly ease the task of comparing results from more than 25 diagnostic tests for autism, by creating clusters of the various symptoms measured.
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.