معرفی
Eve E Marder is the University Professor and Victor and Gwendolyn Beinfield Professor of Neuroscience in the Department of Biology at Brandeis University. She is also affiliated with the Benjamin and Mae Volen National Center for Complex Systems and the Interdepartmental Program in Neuroscience. Her work centers on neuronal networks, neuromodulation, and the stability of neural circuits.
Her research explores how nervous systems maintain functional output despite constant molecular turnover and environmental variability. This includes studies on ion channel regulation, synaptic plasticity, and network homeostasis. Her work bridges experimental neuroscience with computational modeling, influencing both biology and theoretical neuroscience.
Marder has received numerous honors, including the National Medal of Science (2023), the Pearl Meister Greengard Prize (2023), the Kavli Prize in Neuroscience (2016), and the National Academy of Sciences Neuroscience Award (2019). She is a member of the National Academy of Sciences, the American Academy of Arts and Sciences, and the American Philosophical Society.
- National Medal of Science (2023)
- Pearl Meister Greengard Prize (2023)
- Honorary Degree, Princeton University (2022)
- Kavli Prize in Neuroscience (2016)
- Gruber Award in Neuroscience
- Society for Neuroscience Education Award
- George A. Miller Prize
- Gerard Prize
- MERIT Award, NIH
- Jacob Javits Award, NINDS
Marder has been consistently funded by major federal and private grants, including the NIH MERIT Award and the Jacob Javits Neuroscience Investigator Award, reflecting the long-term impact and excellence of her research. She has mentored many students and postdoctoral researchers, though specific names are not listed. She served as President of the Society for Neuroscience in 2008 and continues to be a leading voice in neuroscience education and policy.
Her research is conducted through the Volen National Center for Complex Systems at Brandeis University, where she leads a lab focused on the dynamics of neuronal circuits. She is deeply involved in interdisciplinary neuroscience through the Interdepartmental Program in Neuroscience and collaborates widely across computational and experimental domains.
