Machine learning
Recent articles
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.
Can AI do neuroscience without understanding?
Prediction without understanding sustained astronomy through a thousand years of epicycles. Artificial intelligence is now offering neuroscience the same deal.
Can AI do neuroscience without understanding?
Prediction without understanding sustained astronomy through a thousand years of epicycles. Artificial intelligence is now offering neuroscience the same deal.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Explore more from The Transmitter
Additional data suggest changes in diagnostics underlie increases in autism diagnoses, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 14 September.
Additional data suggest changes in diagnostics underlie increases in autism diagnoses, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 14 September.
Building brain-computer interfaces at a neurotech company
At Blackrock Neurotech, Spencer Kellis develops implantable devices that help people with brain and spinal cord conditions communicate, move and more.
Building brain-computer interfaces at a neurotech company
At Blackrock Neurotech, Spencer Kellis develops implantable devices that help people with brain and spinal cord conditions communicate, move and more.
‘High risk, high reward’: How early-career neuroscientists view their future
The Transmitter and Neuromatch surveyed more than 300 early-career neuroscientists to better understand their unique challenges, career aspirations and support needs.
‘High risk, high reward’: How early-career neuroscientists view their future
The Transmitter and Neuromatch surveyed more than 300 early-career neuroscientists to better understand their unique challenges, career aspirations and support needs.