Talairach Lecture
Sunday, June 8, 2014 at 18:00

The Talairach Lecture, named after famed neurosurgeon Jean Talairach, is a prestigious honor. Previous lecturers have included: Mahlon Delong, Keiji Tanaka, Brenda Milner, G. Rizzoiatti, P. Magistretti, Vernon Mountcastle, Jun Tanji, Eric Kandel, Wolf Singer, Pasko Rakic, Giulio Tononi, Daniel Kahneman, Michael Gazzaniga, Patricia Churchland, György Buzsáki, Karl Deisseroth, Mortimer Mishkin and Marcus E. Raichle.

 

We are pleased to announce the 2014 Talairach Lecturer is Eve Marder, Ph.D of Brandeis University, Waltham, MD, USA.

 

Eve Marder received her Ph.D. from UCSD (1974) and did postdoctoral work at the Ecole Normale Superieure (Paris).  She is the Beinfield Professor of Neuroscience and Head of the Division of Science at Brandeis University.  Marder is Past-President of the Society for Neuroscience.  Her honors include membership in the National Academy of Sciences, the American Academy of Arts and Sciences,
the Institute of Medicine, the Salpeter Award from WIN, the Gerard Prize from the SfN, the George A. Miller Award from the Cognitive Neuroscience Society, the Karl Spenser Lashley Prize from the
American Philosophical Society, an Honorary Doctorate from Bowdoin College, and the
2013 Gruber Prize in Neuroscience.  She serves on the NIH Director’s BRAIN Working Group.

 

Marder studies the dynamics of small neural circuits was instrumental in demonstrating
that neuronal circuits are not “hard-wired” but can be reconfigured by neuromodulatory neurons
and substances.  Her lab pioneered studies of homeostatic regulation of intrinsic membrane properties, and stimulated work on the mechanisms by which brains remain stable while allowing for
change during development and learning.  Marder now studies how similar network performance
can arise from different sets of underlying network parameters, opening up rigorous studies
of the variations in individual brains of normal healthy animals.    

Variability, Robustness and Compensation in Neurons and Networks
Theoretical and experimental work demonstrates that similar circuit outputs can be produced with highly variable circuit parameters.  This work argues that the nervous system of each healthy individual has found a set of different solutions that give “good enough circuit performance. 

 

 

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