Artificial intelligence
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Explore how neuroscientists are thinking about—and applying—artificial intelligence.
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How, when and why to use agentic AI in our neuroscience labs
Mass-produced science is coming. What happens to scientists?
The Transmitter’s favorite essays of 2025
Breaking the jar: Why NeuroAI needs embodiment
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
Why expertise won’t protect you from AI’s influence
Betting blind on AI and the scientific mind
From bench to bot: Why AI-powered writing may not deliver on its promise
— TIM REQUARTH, DIRECTOR OF GRADUATE SCIENCE WRITING, RESEARCH ASSISTANT PROFESSOR OF NEUROSCIENCE AND PHYSIOLOGY, NYU GROSSMAN SCHOOL OF MEDICINE Read more
AI-assisted coding: 10 simple rules to maintain scientific rigor
How neuroscientists are using AI
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Johannes Jaeger explains why we should care that brains and AI are not the same
From single cells to whole organisms, living beings must continuously regenerate themselves and judge what's important to continue living. Artificial intelligence does not and cannot.
Johannes Jaeger explains why we should care that brains and AI are not the same
From single cells to whole organisms, living beings must continuously regenerate themselves and judge what's important to continue living. Artificial intelligence does not and cannot.
AI can’t solve the brain without data that fit together
The brain's first foundation models exist because some areas of neuroscience did the slow work of developing and adopting standards to help integrate data. Artificial intelligence cannot do that work for us.
AI can’t solve the brain without data that fit together
The brain's first foundation models exist because some areas of neuroscience did the slow work of developing and adopting standards to help integrate data. Artificial intelligence cannot do that work for us.
Exclusive: Janelia sunsets rodent work, launches transparent fish project
The Howard Hughes Medical Institute’s Janelia Research Campus is banking on whole-brain imaging in the Danionella fish to advance neuroscience, but some scientists forced to close their labs say that even with a three-year runway and transitional support, they feel betrayed by the pivot.
Exclusive: Janelia sunsets rodent work, launches transparent fish project
The Howard Hughes Medical Institute’s Janelia Research Campus is banking on whole-brain imaging in the Danionella fish to advance neuroscience, but some scientists forced to close their labs say that even with a three-year runway and transitional support, they feel betrayed by the pivot.
Transforming AI models into useful model organisms
These systems were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to that goal.
Transforming AI models into useful model organisms
These systems were not built to explain the brain. But treating them as model organisms that we can perturb and evolve will move us closer to that goal.
Explore more from The Transmitter
Microglia scoop out garbage from inside neurons
Through a newly identified process called skoupocytosis, neurons recruit the immune cells to remove cellular waste they find hard to deal with themselves.
Microglia scoop out garbage from inside neurons
Through a newly identified process called skoupocytosis, neurons recruit the immune cells to remove cellular waste they find hard to deal with themselves.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
How neuromorphic computing could improve AI
Mihai Petrovici explains what neuromorphic computing is and how it can speed up and reduce energy consumption in artificial intelligence and brain simulations.
Hasty stem cells highlight potential limitation with cortical organoids
The models recapitulate many key developmental processes, but some radial glial cells in mouse organoids make neurons earlier than they should.
Hasty stem cells highlight potential limitation with cortical organoids
The models recapitulate many key developmental processes, but some radial glial cells in mouse organoids make neurons earlier than they should.