Engineering the Brain October 15-16, 2015
Chicago, IL USA

http://www.cell-symposia-engineeringthebrain.com/

Organizers
Brian Litt, The Center for Neuroengineering and Therapeutics, University of Pennsylvania, USA
Mark Schnitzer, Departments of Biological Sciences and of Applied Physics, Stanford University, USA
Katja Brose, Editor, Neuron
Mariela Zirlinger, Scientific Editor, Neuron

Speakers
Danielle Bassett, University of Pennsylvania, USA
Bianxiao Cui, Stanford University, USA
Tim Denison, Medtronic, USA
Karl Deisseroth, Stanford University, USA
Valentina Emiliani, Université Paris Descartes, France
Viviana Gradinaru, Caltech, USA
Na Ji, Howard Hughes Medical Institute, USA
Todd Kuiken, Northwestern University, USA
Brian Litt, University of Pennsylvania, USA
Michel Maharbiz, University of California Berkeley, USA
Sat Pannu, Lawrence Livermore National Laboratory, USA
Hongkun Park, Harvard University, USA
Mark Schnitzer, Stanford University, USA
Andrew Schwartz, University of Pittsburgh, USA
Terrence Sejnowski, Salk Institute for Biological Studies, USA
David Tank, Princeton University, USA

Recent technological advances–from fields as diverse as gene and protein engineering to optics/photonics, chemistry, materials science, nanoscience, electrophysiology, and more–offer unprecedented opportunities for measuring and manipulating neural cells and circuits. Such technologies have helped propel forward the already impressive strides made in our understanding of the genetic, molecular, and physiological mechanisms that contribute to brain development and function. Developing new technologies to probe the brain, as well as approaches for managing complex emerging data, will require concerted efforts and collaboration across specialties.

We will bring together leading experts at the forefront of neurotechnology development to discuss the next generation of tools and methods for understanding the brain.

Themes

Neural recordings: imaging and electrophysiological approaches
Prosthetics and brain machine interfaces
Optical manipulation of circuits and cells
Material science and nanotechnology
Design of new probes and sensors
Neuromodulation
Genome engineering
Cell and tissue engineering
Bridging the cultural divide between physical scientists, computational scientists, and engineers
Ethical implications of new neurotechnologies