Saiman Chow
Illustrator
From this contributor
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
Explore more from The Transmitter
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
Frameshift: How Caitlin Vander Weele made science communication her business
Her favorite part of research was talking about it. So she left academia and turned that passion into a successful company.
Frameshift: How Caitlin Vander Weele made science communication her business
Her favorite part of research was talking about it. So she left academia and turned that passion into a successful company.