Neuro education
Recent articles
Essays on how to better train and teach the next generation of neuroscientists.
‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries
Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.
‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries
Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.
Let’s teach neuroscientists how to be thoughtful and fair reviewers
Blanco-Suárez revamped the traditional journal club by developing a course in which students peer review preprints alongside the published papers that evolved from them.
Let’s teach neuroscientists how to be thoughtful and fair reviewers
Blanco-Suárez revamped the traditional journal club by developing a course in which students peer review preprints alongside the published papers that evolved from them.
Explore more from The Transmitter
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.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.