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
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
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
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?
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
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.