Anya Sahni is an illustrator and was The Transmitter’s art intern in the summer of 2024. She is an undergraduate student at Rensselaer Polytechnic Institute, where she studies neuroscience and art.
Anya Sahni
Art intern
The Transmitter
From this contributor
Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.
Thinking about thinking: AI offers theoretical insights into human memory
By
Terrence Sejnowski
5 May 2025 | 7 min read
Revisiting sex and gender in the brain
To conduct scientifically accurate and socially responsible research, it is useful to think of “sex” as a complex, multifactorial and context-dependent variable.
Revisiting sex and gender in the brain
By
Marija Kundakovic
28 January 2025 | 8 min read
Say what? The Transmitter’s top quotes of 2024
“We’ve cured mouse-heimer’s thousands of times...”—find out who said this to a Transmitter reporter, and read our other favorite quotes from the past year.
Say what? The Transmitter’s top quotes of 2024
By
The Transmitter
23 December 2024 | 2 min read
Neural manifolds: Latest buzzword or pathway to understand the brain?
When you cut away the misconceptions, neural manifolds present a conceptually appropriate level at which systems neuroscientists can study the brain.
Neural manifolds: Latest buzzword or pathway to understand the brain?
By
Matthew Perich
2 October 2024 | 8 min read
Ketamine targets lateral habenula, setting off cascade of antidepressant effects
The drug’s affinity for overactive cells in the “anti-reward” region may help explain its rapid and long-lasting results.
Ketamine targets lateral habenula, setting off cascade of antidepressant effects
By
Olivia Gieger
4 September 2024 | 6 min read
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.
By
Natalia Mesa
10 April 2026 | 5 min read
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.
By
Linda Douw, Klaus Eyer, Lara Keuck
9 April 2026 | 5 min read
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.
By
Paul Middlebrooks
8 April 2026 | 131 min listen