AI in neuroscience: Promise,
friction, progress
Recent articles
The Transmitter and INCF are hosting a session at the FENS Forum 2026 in Barcelona in July: “The modern neuroscience lab in the age of AI.” This panel brings together researchers exploring what artificial intelligence can do for neuroscience—and grappling with where it falls short. Over the next month, read more from our panelists: Satrajit Ghosh, Sean Hill, Rachel Parkinson and Mariya Toneva. They will explore how to use these tools for literature review, data curation and synthesis, and for modeling how the brain processes language, and they’ll also reflect on the important work that remains for humans.
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
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
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.
Neuropathologist not guilty of research misconduct, says university probe
The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.
Neuropathologist not guilty of research misconduct, says university probe
The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.