Saiman Chow
Illustrator
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Neural population-based approaches have opened new windows into neural computations and behavior
Neural manifold properties can help us understand how animal brains deal with complex information, execute flexible behaviors and reuse common computations.
Neural population-based approaches have opened new windows into neural computations and behavior
Everything, everywhere, all at once: Inside the chaos of Alzheimer’s disease
To truly understand Alzheimer’s disease, we may need to take a systems approach, in which inflammation, vascular injury, impaired glucose metabolism and other factors interact in complex ways.
Everything, everywhere, all at once: Inside the chaos of Alzheimer’s disease
Neural manifolds: Latest buzzword or pathway to understand the brain?
When you cut away the misconceptions, neural manifolds present a conceptually appropriate level at which systems neuroscientists can study the brain.
Neural manifolds: Latest buzzword or pathway to understand the brain?
Neural-network analysis posits how brains build skills
Discrete computational subunits may offer mix-and-match motifs for cognition.
Neural-network analysis posits how brains build skills
Accounting for a mosaic of sex differences: Q&A with Nicola Grissom
Breaking the binary view of sex traits can enable researchers to represent the broader complexity of behavior and cognition.
Accounting for a mosaic of sex differences: Q&A with Nicola Grissom
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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.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.