Teaching
Recent articles
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
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.