Neural networks
Recent articles
Switching neural code may solve ongoing face-recognition debate
Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.
Switching neural code may solve ongoing face-recognition debate
Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.
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?
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
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.
How insights from network theory can boost interdisciplinary efforts
Communication on one interdisciplinary research team improved after the researchers turned an analysis technique used to study the brain on themselves and identified the roles people played in lab meetings.
How insights from network theory can boost interdisciplinary efforts
Communication on one interdisciplinary research team improved after the researchers turned an analysis technique used to study the brain on themselves and identified the roles people played in lab meetings.
The 1,000 neuron challenge
A competition to design small, efficient neural models might provide new insight into real brains—and perhaps unite disparate modeling efforts.
The 1,000 neuron challenge
A competition to design small, efficient neural models might provide new insight into real brains—and perhaps unite disparate modeling efforts.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on ‘bonkers’ dataset
The dataset contains images of children’s faces downloaded from websites about autism, which sparked concerns at Springer Nature about consent and reliability.
What are the most-cited neuroscience papers from the past 30 years?
Highly cited papers reflect the surge in artificial-intelligence research in the field and other technical advances, plus prizewinning work on analgesics, the fusiform face area and ion channels.
What are the most-cited neuroscience papers from the past 30 years?
Highly cited papers reflect the surge in artificial-intelligence research in the field and other technical advances, plus prizewinning work on analgesics, the fusiform face area and ion channels.
Releasing the Hydra with Rafael Yuste
Losing HHMI Investigator status prompted Yuste to study neural networks in a new way.
Releasing the Hydra with Rafael Yuste
Losing HHMI Investigator status prompted Yuste to study neural networks in a new way.
2025 Brain Prize honors pair of cancer neuroscientists
Michelle Monje and Frank Winkler share the $1.4 million award for their discovery of synapses between brain cancer cells and neurons.
2025 Brain Prize honors pair of cancer neuroscientists
Michelle Monje and Frank Winkler share the $1.4 million award for their discovery of synapses between brain cancer cells and neurons.
Explore more from The Transmitter
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.
What Trump’s psychedelics executive order means for basic neuroscience
The order provides a potential path to remove some psychedelic drugs from the strictest regulatory category, yet it “may not be the breakthrough the basic research community has been looking for,” says neuroscientist Shawn Lockery.
What Trump’s psychedelics executive order means for basic neuroscience
The order provides a potential path to remove some psychedelic drugs from the strictest regulatory category, yet it “may not be the breakthrough the basic research community has been looking for,” says neuroscientist Shawn Lockery.
Liset de la Prida explains how neuron subtypes may control the activity of large neural populations, from manifolds to ripples
De la Prida's work analyzing the varieties of sharp wave ripples in the hippocampus led to her discovery that specific types of neurons control the properties of neural manifolds.
Liset de la Prida explains how neuron subtypes may control the activity of large neural populations, from manifolds to ripples
De la Prida's work analyzing the varieties of sharp wave ripples in the hippocampus led to her discovery that specific types of neurons control the properties of neural manifolds.