Machine learning
Recent articles
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.
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
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.
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.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
The next unit of science: Is the scientific paper due to be replaced?
Artificial intelligence is pushing scientific publishing to the brink. For a field as sprawling as neuroscience, the crisis may also be an opportunity to finally connect findings across subfields.
The next unit of science: Is the scientific paper due to be replaced?
Artificial intelligence is pushing scientific publishing to the brink. For a field as sprawling as neuroscience, the crisis may also be an opportunity to finally connect findings across subfields.
Why expertise won’t protect you from AI’s influence
When writing a grant or reasoning about a problem, artificial intelligence can exert a subtle bias that often goes undetected, even if we’re doing our best to be aware of it.
Why expertise won’t protect you from AI’s influence
When writing a grant or reasoning about a problem, artificial intelligence can exert a subtle bias that often goes undetected, even if we’re doing our best to be aware of it.
Explore more from The Transmitter
University probe leads to retraction of four neural tube studies
The University of Maryland conducted an internal investigation that identified image duplications and other data integrity issues in the studies, according to the retraction notices.
University probe leads to retraction of four neural tube studies
The University of Maryland conducted an internal investigation that identified image duplications and other data integrity issues in the studies, according to the retraction notices.
Highly cited autism paper earns expression of concern over data duplications
The notice, published in Nature last week, also addressed an image duplication identified by a prominent research-integrity sleuth.
Highly cited autism paper earns expression of concern over data duplications
The notice, published in Nature last week, also addressed an image duplication identified by a prominent research-integrity sleuth.
Govern neurodata by how it’s used, not where it’s from
New neurodata laws will shape how researchers gather, share and reuse brain data. A use-based governance protects basic researchers and those whose data are being used, without freezing science.
Govern neurodata by how it’s used, not where it’s from
New neurodata laws will shape how researchers gather, share and reuse brain data. A use-based governance protects basic researchers and those whose data are being used, without freezing science.