Top essays
Recent articles
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
The Transmitter’s favorite essays and columns of 2024
From sex differences in Alzheimer’s disease to enduring citation bias, experts weighed in on important scientific and practical issues in neuroscience.
The Transmitter’s favorite essays and columns of 2024
From sex differences in Alzheimer’s disease to enduring citation bias, experts weighed in on important scientific and practical issues in neuroscience.
From a scientist’s perspective: The Transmitter’s top five essays in 2023
From big-picture debates about theories and terms to practical tips for teaching and writing, our favorite expert-written articles offer a glimpse into what neuroscientists are thinking.
From a scientist’s perspective: The Transmitter’s top five essays in 2023
From big-picture debates about theories and terms to practical tips for teaching and writing, our favorite expert-written articles offer a glimpse into what neuroscientists are thinking.
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.