Neural networks
Recent articles
Does cognition happen in brain areas or between them?
Michael Cole explains how "brain flows" are the fundamental units of brain function and cognition.
Does cognition happen in brain areas or between them?
Michael Cole explains how "brain flows" are the fundamental units of brain function and cognition.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Susana Carmona on the neurobiology of pregnancy
In a Q&A about her new book, “A Mother’s Brain,” Carmona shares key moments in her career that led her to study the neuroscience of motherhood and discusses some of the major questions the field still needs to address.
Susana Carmona on the neurobiology of pregnancy
In a Q&A about her new book, “A Mother’s Brain,” Carmona shares key moments in her career that led her to study the neuroscience of motherhood and discusses some of the major questions the field still needs to address.
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.
Revisiting the neural correlates of consciousness
Life happens in real time, but experience may be composed in ragtime—like the music genre, full of offbeat notes and uneven rhythms. The assumption that waking life consists of a “stream” of conscious representations has inadvertently led consciousness science to its current impasse.
Revisiting the neural correlates of consciousness
Life happens in real time, but experience may be composed in ragtime—like the music genre, full of offbeat notes and uneven rhythms. The assumption that waking life consists of a “stream” of conscious representations has inadvertently led consciousness science to its current impasse.
Textbook model of hippocampus’s role in memory may need updating
The CA3 region, long thought to have just one circuit, has two, sporting different wiring and functions, a new preprint suggests.
Textbook model of hippocampus’s role in memory may need updating
The CA3 region, long thought to have just one circuit, has two, sporting different wiring and functions, a new preprint suggests.
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.
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.