Jon Han
Illustrator
From this contributor
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
The challenge of defining a neural population
The limits of neuroscience
Truly understanding the brain requires a set of conditions we’re unlikely to meet: that knowledge about the brain is finite, and that we have both access to that knowledge and the means to understand it.
The Transmitter’s favorite essays and columns of 2024
From sex differences in Alzheimer’s disease to enduring citation bias, experts weighed in on important scientific and practical issues in neuroscience.
The Transmitter’s favorite essays and columns of 2024
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
Imagining the ultimate systems neuroscience paper
What makes memories last—dynamic ensembles or static synapses?
Teasing out how different subfields conceptualize central terms might help move this long-standing debate forward. I asked eight scientists to weigh in.
What makes memories last—dynamic ensembles or static synapses?
Explore more from The Transmitter
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.