Teaching
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Remembering Adam Kampff, neuroscience educator and researcher
Kampff’s do-it-yourself approach inspired a generation of neuroscientists.
Remembering Adam Kampff, neuroscience educator and researcher
Kampff’s do-it-yourself approach inspired a generation of neuroscientists.
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.
Many students want to learn to use artificial intelligence responsibly. But their professors are struggling to meet that need.
Effectively teaching students how to employ AI in their writing assignments requires clear guidelines—and detailed, case-specific examples.
Many students want to learn to use artificial intelligence responsibly. But their professors are struggling to meet that need.
Effectively teaching students how to employ AI in their writing assignments requires clear guidelines—and detailed, case-specific examples.
How to teach students about science funding
As researchers reel over the uncertain state of U.S. federal funding, educating students on the business of science is more important than ever.
How to teach students about science funding
As researchers reel over the uncertain state of U.S. federal funding, educating students on the business of science is more important than ever.
Why practical summer courses in neuroscience matter
Among other reasons, this tradition helps researchers rekindle the unfettered joy that initially brought them to the field.
Why practical summer courses in neuroscience matter
Among other reasons, this tradition helps researchers rekindle the unfettered joy that initially brought them to the field.
From a scientist’s perspective: The Transmitter’s top five essays in 2023
From big-picture debates about theories and terms to practical tips for teaching and writing, our favorite expert-written articles offer a glimpse into what neuroscientists are thinking.
From a scientist’s perspective: The Transmitter’s top five essays in 2023
From big-picture debates about theories and terms to practical tips for teaching and writing, our favorite expert-written articles offer a glimpse into what neuroscientists are thinking.
How to teach this paper: ‘Neural population dynamics during reaching,’ by Churchland & Cunningham et al. (2012)
This foundational paper, with more than 1,500 citations, is an important departure from early neuroscience research. Don’t be afraid of the math in the first paragraph.
How to teach this paper: ‘Neural population dynamics during reaching,’ by Churchland & Cunningham et al. (2012)
This foundational paper, with more than 1,500 citations, is an important departure from early neuroscience research. Don’t be afraid of the math in the first paragraph.
Explore more from The Transmitter
Watching the mind build a world: Lucid dreaming as a model for generative perception
Lucid dreaming offers a rare opportunity to observe and probe perception from within.
Watching the mind build a world: Lucid dreaming as a model for generative perception
Lucid dreaming offers a rare opportunity to observe and probe perception from within.
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.