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
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Neuropathologist not guilty of research misconduct, says university probe
The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.
Neuropathologist not guilty of research misconduct, says university probe
The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.