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How to be a multidisciplinary neuroscientist
Neuroscience subfields are often siloed. Embracing an integrative approach during training can help change that.

How to be a multidisciplinary neuroscientist
Neuroscience subfields are often siloed. Embracing an integrative approach during training can help change that.
Should I work with these people? A guide to collaboration
Kevin Bender offers advice for early-career neuroscientists on how to choose the right collaborations and avoid the bad ones.

Should I work with these people? A guide to collaboration
Kevin Bender offers advice for early-career neuroscientists on how to choose the right collaborations and avoid the bad ones.
Explore more from The Transmitter
Machine learning spots neural progenitors in adult human brains
But the finding has not settled the long-standing debate over the existence and extent of neurogenesis during adulthood, says Yale University neuroscientist Juan Arellano.

Machine learning spots neural progenitors in adult human brains
But the finding has not settled the long-standing debate over the existence and extent of neurogenesis during adulthood, says Yale University neuroscientist Juan Arellano.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.

Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.