Amy Esler is associate professor of pediatrics at the University of Minnesota in Minneapolis.
Amy Esler
Assistant Professor of Pediatrics
University of Minnesota
From this contributor
Why we need a mouse version of a diagnostic test for autism
Researchers have developed behavioral measures that can accurately diagnose autism in people; these lessons can and should be applied to mice.
Why we need a mouse version of a diagnostic test for autism
Adjusting diagnostic tests for the DSM-5
As clinicians adopt the new criteria for autism, the many tests now used to diagnose the disorder may need to be modified, says Amy Esler.
Explore more from The Transmitter
Amid funding uncertainty, graduate neuroscience programs in the U.S. adapt
The Transmitter surveyed 50 graduate program directors to learn how they’re faring. Securing labs for new students is one of the greatest concerns.
Amid funding uncertainty, graduate neuroscience programs in the U.S. adapt
The Transmitter surveyed 50 graduate program directors to learn how they’re faring. Securing labs for new students is one of the greatest concerns.
The changing nature of the neuroscience Ph.D.
The best science can only be sustained by a steady influx of early-stage scientists and the innovative ideas they bring, says Diane Lipscombe. She reflects on the loss of international students, the value of training grants, and the challenges that lie ahead for graduate education.
The changing nature of the neuroscience Ph.D.
The best science can only be sustained by a steady influx of early-stage scientists and the innovative ideas they bring, says Diane Lipscombe. She reflects on the loss of international students, the value of training grants, and the challenges that lie ahead for graduate education.
Rethinking neuroscience graduate education in the age of AI
What knowledge from traditional training protocols needs to be maintained, what can be discarded, and what new types of training should be introduced? Six neuroscientists weigh in.
Rethinking neuroscience graduate education in the age of AI
What knowledge from traditional training protocols needs to be maintained, what can be discarded, and what new types of training should be introduced? Six neuroscientists weigh in.