Education
Recent articles
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
European Research Council backtracks on stricter grant resubmission rules
The swift reversal came after more than 1,000 scientists signed an open letter protesting the rules last week.
European Research Council backtracks on stricter grant resubmission rules
The swift reversal came after more than 1,000 scientists signed an open letter protesting the rules last week.
Scientists push back against stricter European Research Council grant application rules
In an open letter, scientists call the ERC’s suggestion to block grant reapplications for an additional year “at odds with scientific excellence.”
Scientists push back against stricter European Research Council grant application rules
In an open letter, scientists call the ERC’s suggestion to block grant reapplications for an additional year “at odds with scientific excellence.”
How to teach programming in the age of AI
Scientists and educators are concerned about students using artificial intelligence to shortcut their learning. But there are also opportunities, especially when it comes to teaching neuroscience students how to code.
How to teach programming in the age of AI
Scientists and educators are concerned about students using artificial intelligence to shortcut their learning. But there are also opportunities, especially when it comes to teaching neuroscience students how to code.
Securing the academic pipeline amid uncertain U.S. funding climate
Finding creative ways to keep early-career researchers in academia—for example, through part-time roles—can help the field weather the storm.
Securing the academic pipeline amid uncertain U.S. funding climate
Finding creative ways to keep early-career researchers in academia—for example, through part-time roles—can help the field weather the storm.
Talking shop: The Transmitter’s top quotes of 2025
Find out what “may be one of the brain’s most underappreciated superpowers” and why it’s so crucial to “talk about our research in our everyday lives.”
Talking shop: The Transmitter’s top quotes of 2025
Find out what “may be one of the brain’s most underappreciated superpowers” and why it’s so crucial to “talk about our research in our everyday lives.”
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.
Is neuroscience a coherent field? Or is it becoming more fragmented?
The latter, say about half of the neuroscientists we surveyed. They note the sheer volume of research being generated, an increasing trend toward specialization in neuroscience education, and competition among labs. About another quarter told us it is “becoming much more interconnected.”
Is neuroscience a coherent field? Or is it becoming more fragmented?
The latter, say about half of the neuroscientists we surveyed. They note the sheer volume of research being generated, an increasing trend toward specialization in neuroscience education, and competition among labs. About another quarter told us it is “becoming much more interconnected.”
The state of neuroscience in 2025: An overview
The Transmitter presents a portrait of the field through four lenses: its focus, its output, its people and its funding.
The state of neuroscience in 2025: An overview
The Transmitter presents a portrait of the field through four lenses: its focus, its output, its people and its funding.
Our searchable repository of useful research can restore trust in federally funded basic science
Called U.S. Public Research Benefits, the database showcases the value of basic science in an easy and accessible format.
Our searchable repository of useful research can restore trust in federally funded basic science
Called U.S. Public Research Benefits, the database showcases the value of basic science in an easy and accessible format.
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.