Perspectives
Recent articles
Expert opinions on trends and controversies in neuroscience
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
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.
‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries
Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.
‘Friction-maxxing’ in school: Students should read primary literature, not AI summaries
Trainees need to learn how to identify a neuroscience paper’s major takeaways and integrate them into their understanding. This skill doesn’t come from outsourcing the work to large language models.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
This paper changed my life: Talia Lerner reflects on dopamine neuron diversity and the value of simple experiments
In a 2011 Neuron study, Stephan Lammel and his colleagues showed that dopamine neurons with different projections have different physiological properties. The work inspired Lerner to think about how to challenge widely held assumptions in the field.
This paper changed my life: Talia Lerner reflects on dopamine neuron diversity and the value of simple experiments
In a 2011 Neuron study, Stephan Lammel and his colleagues showed that dopamine neurons with different projections have different physiological properties. The work inspired Lerner to think about how to challenge widely held assumptions in the field.
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.
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.