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
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
The leaders we have lost
Learn more about the lives and legacies of the neuroscientists who passed away between 2023 and 2025.
The leaders we have lost
Learn more about the lives and legacies of the neuroscientists who passed away between 2023 and 2025.