Artificial intelligence
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Explore how neuroscientists are thinking about—and applying—artificial intelligence.
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Neuroscience gave AI its start. What happens now?
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
The Transmitter’s favorite essays of 2025
Breaking the jar: Why NeuroAI needs embodiment
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
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
How does a control theorist explain cognition?
Maxim Raginsky draws on control theory, engineering and philosophy to explore what makes biological brains intelligent, what artificial intelligence is missing, and what principles underlie biological autonomy.
How does a control theorist explain cognition?
Maxim Raginsky draws on control theory, engineering and philosophy to explore what makes biological brains intelligent, what artificial intelligence is missing, and what principles underlie biological autonomy.
How, when and why to use agentic AI in our neuroscience labs
With agentic AI’s rapid infiltration into science, researchers need to develop AI use policies and practices.
How, when and why to use agentic AI in our neuroscience labs
With agentic AI’s rapid infiltration into science, researchers need to develop AI use policies and practices.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.
Explore more from The Transmitter
Lipids enter brain mapping limelight
Two new studies, including the first whole-brain lipid atlas in mice, uncover unforeseen complexity and influence during pregnancy and aging.
Lipids enter brain mapping limelight
Two new studies, including the first whole-brain lipid atlas in mice, uncover unforeseen complexity and influence during pregnancy and aging.
Behavioral phenomics in zebrafish; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 26 October.
Behavioral phenomics in zebrafish; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 26 October.
Remembering Barbara Finlay, ‘maverick’ of evolutionary neuroscience
Finlay, who died on 12 September, championed the idea that developmental constraints dictate how evolution sculpts brains, a concept she used to model the timing of hundreds of events and align them across mammalian species.
Remembering Barbara Finlay, ‘maverick’ of evolutionary neuroscience
Finlay, who died on 12 September, championed the idea that developmental constraints dictate how evolution sculpts brains, a concept she used to model the timing of hundreds of events and align them across mammalian species.