AI in neuroscience: Promise,
friction, progress
Recent articles
Neuroscientists reckon with the gap between artificial intelligence’s potential and the field’s reality.
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.
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.
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.
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.
Explore more from The Transmitter
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.
Making an impact through academic administration
As executive director of research at Harvard Medical School’s Department of Neurobiology, Soha Ashrafi supports more than 300 scientists, students and staff members.
Making an impact through academic administration
As executive director of research at Harvard Medical School’s Department of Neurobiology, Soha Ashrafi supports more than 300 scientists, students and staff members.
This paper changed my life: Embracing an early model for naturalistic neuroscience
A 1992 PNAS paper showed how birdsong upregulates the expression of an immediate early gene in bird forebrains. The work revealed to Ribeiro the importance of studying molecular responses in naturalistic contexts.
This paper changed my life: Embracing an early model for naturalistic neuroscience
A 1992 PNAS paper showed how birdsong upregulates the expression of an immediate early gene in bird forebrains. The work revealed to Ribeiro the importance of studying molecular responses in naturalistic contexts.