Connectionists: State of the Brain Symposium
Terry Sejnowski
terry at salk.edu
Mon Mar 7 19:52:54 EST 2016
State of the Brain - Keystone Symposium
Scientific Organizers: Terrence J. Sejnowski and Sten Grillner
May 22-26, 2016
Alpbach Congress Centrum, Alpbach, Austria
Recent years have seen rapid advances in our understanding of brain biology, driven in part by the development of novel technologies for studying neural networks. Consequently, major national research programs in the EU and US have been launched that will bring together teams of neuroscientists and engineers with the aim of achieving a major advance in understanding brain function and dysfunction. The challenge is to map the circuits of the brain, measure the fluctuating patterns of electrical and chemical activity flowing within those circuits and understand how they give rise to cognitive and behavioral capabilities. This Keystone Symposia conference brings together investigators from around the world to share their discoveries and to plan future projects in this exciting new era for brain research.
Conference Program
http://www.keystonesymposia.org/index.cfm?e=Web.Meeting.Program&meetingid=1425&subTab=program
Registration
http://www.keystonesymposia.org/index.cfm?e=Web.Meeting.Registration&meetingid=1425&siteid=51&meetingyear=2016&subTab=reg
Early Registration discount deadline: March 22, 2016
MONDAY, MAY 23
08:30
Welcome and Keynote Address
Cori Bargmann, Rockefeller University, USA
Understanding Brain Function and Dysfunction
09:30 International Brain Programs
Henry Markram, EPFL SV BMI LNMC, Switzerland
The EU Human Brain Project
Walter J. Koroshetz, National Institute of Neurological Disorders and Stroke, NIH, USA
The US BRAIN Initiative
Mu-ming Poo, Institute of Neuroscience, CAS, China
China Brain Project and Non-human Primate Research
Christof Koch, Allen Institute for Brain Science, USA
Project MindScope - Big Science, Team Science, Open Science to Understand Mouse Cortex
15:30 Panel 1: Coordinating International Programs
Chair: Terrence J. Sejnowski, The Salk Institute, USA
Cornelia (Cori) Bargmann, Rockefeller University, USA
Henry Markram, EPFL SV BMI LNMC, Switzerland
Walter J. Koroshetz, National Institute of Neurological Disorders and Stroke, NIH, USA
Mu-ming Poo, Institute of Neuroscience, CAS, China
Christof Koch, Allen Institute for Brain Science, USA
Thomas Skordas, European Commission, Belgium
17:00 Discovering Diversity: Identifying Cell Types in the Brain
Botond Roska, Friedrich Miescher Institute, Switzerland
Cell Types and Circuits in the Visual System
Hongkui Zeng, Allen Institute for Brain Science, USA
Genetic Approaches to Brain Circuit Mapping and Cell Type Characterization
TUESDAY, MAY 24
08:30 The Brain in Action: Large-Scale Monitoring and Manipulating Neurons
Karl Deisseroth, Stanford University, USA
Optogenetic Approaches to Neural Circuits
David W. Tank, Princeton University, USA
Recording Activity from Internal Brain States
Mark J. Schnitzer, Stanford University, USA
Reading Neural Codes from a Thousand Neurons in Freely Behaving Mice
Susumu Tonegawa, Massachusetts Institute of Technology and RIKEN Brain Science Institute, USA
Monitoring and Engineering Memory Engram Cells and their Circuits
15:30 Panel 2: Bridging the Gap between Circuits and Behavior
Chair: David W. Tank, Princeton University, USA
Karl Deisseroth, Stanford University, USA
Mark J. Schnitzer, Stanford University, USA
Susumu Tonegawa, Massachusetts Institute of Technology and RIKEN Brain Science Institute, USA
Winfried Denk, Max Planck Institute of Neurobiology, Germany
R. Clay Reid, Allen Institute for Brain Science, USA
17:00 Maps in the Brain: Generating Multi-Scale Neural Circuits
Winfried Denk, Max Planck Institute of Neurobiology, Germany
Revealing the Core Circuitry in Brains
R. Clay Reid, Allen Institute for Brain Science, USA
Integrating Circuits, Recordings and Behavior
Terrence J. Sejnowski, The Salk Institute, USA
Global Traveling Waves in Human Cortex
WEDNESDAY, MAY 25
08:30 Advancing Human Neuroscience: Understanding Brain Function and Dysfunction
John Donoghue, Wyss Center for Bio- and Neuro-Engineering, Switzerland
Brain Computer Interfaces
Helen S. Mayberg, Emory University, USA
Iterative Strategies to Refine and Optimize DBS for Depression
Patricia K. Kuhl, University of Washington, USA
What Can Babies' Brains Tell Us About What it Means to be Human?
15:30 Panel 3: What are the Prospects for Helping Humans with Brain Disorders?
Chair: John Donoghue, Wyss Center for Bio- and Neuro-Engineering, Switzerland
Helen S. Mayberg, Emory University, USA
Patricia K. Kuhl, University of Washington, USA
Emery N. Brown, MIT-Harvard Division of Health Sciences and Technology, USA
Botond Roska, Friedrich Miescher Institute, Switzerland
17:00 Discovering Principles: Theory, Models, Computation and Statistics
Emery N. Brown, MIT-Harvard Division of Health Sciences and Technology, USA
Deciphering the Dynamics of the Unconscious Brain under General Anesthesia
Sten Grillner, Karolinska Institutet, Sweden
Multi-Scale Modeling of Neuronal Networks - From Ion Channels to Selection of Behavior
THURSDAY, MAY 26
08:30 Model Systems: Using Genetics to Deconstruct Neural Circuits
Gerald M. Rubin, Janelia Research Campus, USA
A Comprehensive Approach to Understanding the Fly Brain
Florian Engert, Harvard University, USA
>From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response
Hideyuki Okano, Keio University School of Medicine, Japan
Disease Modeling and Brain Mapping Using Transgenic Marmosets
15:30 Panel 4: Evolutionary Perspectives in Understanding the Brain
Chair: Sten Grillner, Karolinska Institutet, Sweden
Gerald M. Rubin, Janelia Research Campus, USA
Florian Engert, Harvard University, USA
Hideyuki Okano, Keio University School of Medicine, Japan
Hongkui Zeng, Allen Institute for Brain Science, USA
17:00 Big Data: Analyzing High-Dimensional Brain Datasets
Joshua T. Vogelstein, Johns Hopkins University, USA
NeuroData: Enabling Petascale Neuroscience
Sean Hill, Ecole Polytechnique Fedrerale de Lausanne, Switzerland
Neuroinformatics: From Big Data to Knowledge Discovery
Kamil Ugurbil, University of Minnesota Medical School, USA
Human Connectomics
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