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
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
By
Eunji Kong
16 January 2026 | 5 min read
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
By
Angie Voyles Askham
15 January 2026 | 7 min read
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
By
Laura Dattaro
15 January 2026 | 5 min read