Modeling
Recent articles
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
Bringing African ancestry into cellular neuroscience
Two independent teams in Africa are developing stem cell lines and organoids from local populations to explore neurodevelopmental and neurodegenerative conditions.
Bringing African ancestry into cellular neuroscience
Two independent teams in Africa are developing stem cell lines and organoids from local populations to explore neurodevelopmental and neurodegenerative conditions.
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.
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
The Transmitter’s favorite essays of 2025
Throughout a tumultuous year in science, researchers opined on policy changes and funding uncertainty, as well as scientific trends and the impact of artificial-intelligence tools on the field.
What is the future of organoid and assembloid regulation?
Four experts weigh in on how to establish ethical guardrails for research on the 3D neuron clusters as these models become ever more complex.
What is the future of organoid and assembloid regulation?
Four experts weigh in on how to establish ethical guardrails for research on the 3D neuron clusters as these models become ever more complex.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Whole-brain, bottom-up neuroscience: The time for it is now
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology and how neurons work together to generate behavior.
Whole-brain, bottom-up neuroscience: The time for it is now
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology and how neurons work together to generate behavior.
The visual system’s lingering mystery: Connecting neural activity and perception
Figuring out how the brain uses information from visual neurons may require new tools. I asked 10 neuroscientists what experimental and conceptual methods they think we’re missing.
The visual system’s lingering mystery: Connecting neural activity and perception
Figuring out how the brain uses information from visual neurons may require new tools. I asked 10 neuroscientists what experimental and conceptual methods they think we’re missing.
Meet the Autism Data Science Initiative grantees
The awarded projects plan to study gene-and-environment interactions in people, stem cells and organoids, as well as predictors of positive life outcomes in autistic youth and adults.
Meet the Autism Data Science Initiative grantees
The awarded projects plan to study gene-and-environment interactions in people, stem cells and organoids, as well as predictors of positive life outcomes in autistic youth and adults.
Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.
Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.
Explore more from The Transmitter
Sensory profiles in autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 January.
Sensory profiles in autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 January.
Frameshift: At a biotech firm, Ubadah Sabbagh embraces the expansive world outside academia
As chief of staff at Arcadia, Ubadah Sabbagh gets to do science while also pushing the boundaries of how science gets done.
Frameshift: At a biotech firm, Ubadah Sabbagh embraces the expansive world outside academia
As chief of staff at Arcadia, Ubadah Sabbagh gets to do science while also pushing the boundaries of how science gets done.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.