Postdoc perspectives
Recent articles
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Aging as adaptation: Learning the brain’s recipe for resilience
Some age-related changes in the brain and in behavior are not solely the result of cognitive decline but rather part of a larger adaptive process.
Aging as adaptation: Learning the brain’s recipe for resilience
Some age-related changes in the brain and in behavior are not solely the result of cognitive decline but rather part of a larger adaptive process.
As federal funders desert mentorship programs for marginalized students, trainee-led initiatives fill the gap
Grassroots organizations, led by graduate students and postdoctoral researchers, are stepping up to provide neuroscience career training and guidance for students from marginalized backgrounds—and they need your support.
As federal funders desert mentorship programs for marginalized students, trainee-led initiatives fill the gap
Grassroots organizations, led by graduate students and postdoctoral researchers, are stepping up to provide neuroscience career training and guidance for students from marginalized backgrounds—and they need your support.
Explore more from The Transmitter
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.
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.
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.