Neuroscientists using AI
Recent articles
Learn about the myriad ways researchers are employing these tools, along with tips for how to responsibly adopt them.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
AI-assisted coding: 10 simple rules to maintain scientific rigor
These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.
AI-assisted coding: 10 simple rules to maintain scientific rigor
These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
Explore more from The Transmitter
Remembering Annette Dolphin, who helped explain gabapentin’s effects
The "intuitive" neuropharmacologist pushed against the status quo.
Remembering Annette Dolphin, who helped explain gabapentin’s effects
The "intuitive" neuropharmacologist pushed against the status quo.
Revised statistical bar extracts less-common variants from autism genetics studies
Adjusting genetic analyses could help plug autism’s heritability gap, according to a new preprint.
Revised statistical bar extracts less-common variants from autism genetics studies
Adjusting genetic analyses could help plug autism’s heritability gap, according to a new preprint.
Tom Griffiths describes how neural networks, logic and probability theory together explain cognition
In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.
Tom Griffiths describes how neural networks, logic and probability theory together explain cognition
In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.