Artificial intelligence
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Explore how neuroscientists are thinking about—and applying—artificial intelligence.
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AI can’t solve the brain without data that fit together
Exclusive: Janelia sunsets rodent work, launches transparent fish project
Transforming AI models into useful model organisms
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
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the publisher’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the publisher’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
The illusion of AI consciousness: Lessons from human unconscious processing
Complex, goal-directed and even emotionally responsive behavior can unfold without awareness, providing a useful lens for interpreting artificial systems.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Explore more from The Transmitter
Recording warning: Common brain signal may be misunderstood
High gamma activity in electrophysiologic recordings reflects widespread neural activity, not merely local firing, as previously thought.
Recording warning: Common brain signal may be misunderstood
High gamma activity in electrophysiologic recordings reflects widespread neural activity, not merely local firing, as previously thought.
Fructose silences hunger-driving neurons less than glucose does
Two simple sugars show the complexities of gut-brain communication.
Fructose silences hunger-driving neurons less than glucose does
Two simple sugars show the complexities of gut-brain communication.
A new subtyping model for autism phenotypes late in development, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 29 June.
A new subtyping model for autism phenotypes late in development, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 29 June.