Program


2011 NSF EFRI COPN WORKSHOP

Day 1 Day 2 Day 3

 

Download program in pdf here

2011 NSF EMERGING FRONTIERS IN RESEARCH AND INNOVATION COGNITIVE OPTIMIZATION AND PREDICTION: FROM NEURAL SYSTEMS TO NEUROTECHNOLOGY (COPN) WORKSHOP

Program

November 30, 2011

Welcome Reception

Crystal Room

6.00 pm to 8.00 pm

Workshop Day #1 – December 1, 2011

   
7.30 am: Buffet Breakfast & Registration Check-in
Dewey Foyer
   
8.00 am – 8.30 am: Welcome & Opening Remarks
Dewey 1&2
   
Dr. Sohi Rastegar
Director, Office of Emerging Frontiers in Research & Innovation (ENG/EFRI), NSF
   
Dr. Paul Werbos
ECCS & EFRI COPN Program Director, NSF
   
Dr. G. Kumar Venayagamoorthy
COPN Workshop Chair, Missouri S&T
   
8.30 am – 10.00 am: Coffee Break
Dewey 1&2
   
8.30 am – 9.15 am: Design and Control of Simulated and Real Robots
Dr. Emanuel Todorov, University of Washington
   
9.15 am – 10.00 am: Advances in using Cultured Cortical Networks as Data Processors
Dr. Steve M. Potter, Georgia Institute of Technology
   
10.00 am – 10.30 am: Coffee Break
Dewey Foyer
   
10.30 am – 11.10 am: COPN Presentation
Dewey 1&2
   
Dynamic, Stochastic, Computational and Scalable Technologies for the Future Intelligent Electric Power Grid
Dr. G. Kumar Venayagamoorthy, Missouri S&T
   
11.10 am – 12.00 pm: Invited Presentation
Dewey 1&2
   
When is it worth working: Brain circuits related to motivation and reward expectancy?
Dr. Barry Richmond, National Institute of Mental Health/National Institute of Health
   
12.00 pm – 1.00 pm: Plated Lunch
Crystal Room
   
1.00 pm – 3.30 pm: Poster Presentations
Charleston
   
1.00 pm to 2.15 pm: Poster Session #1
   
Dynamics of Neural Networks on a Planar Patch-Clamp Array: Training, Identification, and Control
Mark Tobenkin, H. Sebastian Seung & Russ Tedrake, MIT and Jacob Robinson, Marsela Jorgolli, Alex K. Shalek, Rona S. Gertner, & Hongkun Park, Harvard University
   
Quantitative Modeling of Action Potential Latency Elasticity
Riley T. Zeller-Townson & Steve M. Potter, Georgia Institute of Technology, and G. Kumar Venayagamoorthy, Missouri S&T
   
High-Bandwidth Sensory Input Encoding, Readout, and Prediction Methods for Living Neuronal Networks on Microelectrode Arrays
Robert Ortman, & Steve M. Potter, Georgia Institute of Technology, and G. Kumar Venayagamoorthy, Missouri S&T
   
An Optogenetic Feedback Controller for Clamping Firing Rates in Dissociated Cortical Networks
Jon Newman, Ming-fai Fong, Riley T. Zeller-Townson, Neal Laxpati, Ted French, & Steve M. Potter, Georgia Institute of Technology
   
Broader Impacts: A Real World Approach to Teaching Undergraduate Neuroscience and Neuroengineering
Steve M. Potter, Georgia Institute of Technology
   
An Application Framework for Biologically-Inspired Neural Networks
Cameron Johnson & G. Kumar Venayagamoorthy, Missouri S&T
   
Spiking Neural Networks Encoding and Decoding Algorithms for Time Series Estimation and System Identification
Sinchan Roychowdhury & G. Kumar Venayagamoorthy, Missouri S&T
   
Reservoir-Computing-Based, Biologically-Inspired Artificial Neural Network for Online Modeling of a Single Machine Infinite Bus System
Jing Dai & Ronald G. Harley, Georgia Institute of Technology, and G. Kumar Venayagamoorthy, Missouri S&T
   
Integrated Cellular Neural Networks for Wide Area Monitoring and Control of Smart Grids
Bipul Luitel, Karthikeyan Balasubramaniam and G. Kumar Venayagamoorthy, Missouri S&T
   
2.15 pm to 3.30 pm: Poster Session #2
   
New Tools for Probing Neural Circuits: Optogenetic Reagents, Multichannel 3D-Waveguides, and Automated Patch Clamp
J. Bernstein, S. B. Kodandaramaiah, N. Klapoetke, A. S. Chuong, A. N. Zorzos, T. Morimoto, B. Melkonian, M. Melkonian, M. A. Henninger, L. C. Acker, J. Scholvin, G. Wong, B. Y. Chow, X. Han, C. R. Forest, C. G. Fonstad, E. S. Boyden, MIT
   
Deep Feature Learning for Real-Time Recognition and Detection
Pierre Sermanet, Y-Lan Boureau & Yann LeCun, New York University
   
Intrinsic Gradient Networks: Highly Recurrent Neural Networks with Biologically Plausible Training
Jason Tyler Rolfe & Yann LeCun, New York University, and Matthew Cook, ETH-Zurich
   
Wireless Multi-Channel Device to Capture Dynamics of Complex Sensorimotor Tasks
Alexander Reyes & Francisco J. Valero-Cuevas, University of Southern California
   
Biologically Inspired Modular Robots
Alex Simpkins & Emo Todorov, University of Washington, and Michael S. Kelley, University of California San Diego
   
Experiments in Model Predictive Control
Yuval Tassa & Emo Todorov, University of Washington
   
GPGPU Implementation of Spiking Neural Networks
Vivek K. Pallipuram, Mohammed A. Bhuiyan, & Melissa C. Smith, Clemson University
   
Increased Neural Synchrony in Rat Motor Cortices during Learning of an Association Task
Bing Cheng & Jennie Si, Arizona State University
   
3.00 pm to 3.30 pm: Coffee Break
Dewey 3
   
3.30 pm – 5.30 pm: COPN Presentations
Dewey 1&2
   
3.30 pm to 4.10 pm: Vertical Nanowire Electrode Array: A Highly Scalable Platform for Intracellular Interfacing to Neuronal Circuits
Dr. Hongkun Park, Harvard University
   
4.10 pm to 4.45 pm: Methods of Neural System Identification based on Measurements of Activity and Connectivity in Vitro
Dr. H. Sebastian Seung, MIT
   
4.45 pm to 5.30 pm: Strategies for Learning Hierarchies of Invariant Features
Dr. Yann LeCun, New York University
   
5.30 pm – 6.00 pm: Invited Presentation
Dewey 1&2
   
Analysis and Design of Spiking Neural Networks for Adaptive Control
Dr. Silvia Ferrari, Duke University
   
6.00 pm – 6.30 pm: Break before Banquet
   
6.30 pm – 8.30 pm: Banquet – Buffer Dinner and Presentations
Crystal Room
   
7.00 pm – 7.45 pm: New Challenges and Opportunities
Dr. Paul Werbos, NSF
   
7.45 pm – 8.15 pm: The NSF Innovation Corps (I-Corps) Program
Dr. Rathindra (Babu) Dasgupta, NSF
   

Workshop Day #2 – December 2, 2011

   
7.30 am: Buffet Breakfast & Registration Check-in
Dewey Foyer
   
8.00 am – 9.30 am: Invited Presentations
Dewey 1&2
   
8.00 am – 8.45 am: A Hidden Neuronal Simplicity Underlying Attention, Decision Making, Categorization and Prediction within the Macaque Parietal Cortex
Dr. Surya Ganguli, Stanford University
   
8.45 am – 9.30 am: Cortical Neural Substrate for Goal-Directed Learning Control
Dr. Jennie Si, Arizona State University
   
9.30 am – 10.30 am: Panel – Beyond COPN
Dewey 1&2
   
Moderators: Drs. Jennie Si & G. Kumar Venayagamoorthy
   
Panelists:
Dr. Yann LeCunn, New York University
Dr. Steve M. Potter, Georgia Institute of Technology
Dr. Barry Richmond, National Institute of Health
Dr. H. Sebastian Seung, MIT
Dr. Emanuel Todorov, University of Washington
Dr. Paul Werbos, NSF
   
10.30 am – 11.00 am: Coffee Break
Dewey Foyer
   
11.00 am – 11.50 pm: Invited Presentation
Dewey 1&2
   
European Projects on Brain-inspired Computing – Achievements and Plans
Dr. Karlheinz Meier, University of Heidelberg
   
11.50 am – 12.00 pm: Short Break
   
12.00 pm – 1.00 pm: Buffet Lunch
Crystal Room
   
1.00 pm – 2.30 pm: Invited Presentations
Dewey 1&2
   
1.00 pm – 2.00 pm: Biologically-Inspired Massively-Parallel Computing
Dr. Stephen Furber, University of Manchester
   
2.00 pm – 2.30 pm: Single Network Adaptive Critics (SNAC) for Tracking, Path Planning with Handling Imperfect Models
Dr. S N Balakrishnan, Missouri S&T
   
2.30 pm – 3.15 pm: Beyond COPN Wrap-Up
Dewey 1&2
   
Drs. Jennie Si & Kumar Venayagamoorthy, & COPN PIs/Co-PIs
3.15 pm to 3.45 pm: Coffee Break
Dewey Foyer
   
3.45 pm – 5.15 pm: Invited Presentations
Dewey 1&2
   
3.45 pm – 4.30 pm: Critic-Based Approach to Multi-Level Optimization and Activity Forecast
Dr. Luda D Werbos, IntControl, LLC
   
4.30 pm – 5.15 pm: Implementation of Spiking Neural Networks on Emerging Multi- and GPGPU Architectures
Dr. Melissa Smith, Clemson University
   

Workshop Day #3 – December 3, 2011

   
8.00 am: Buffet Breakfast & Registration Check-in
Crystal Room
   
8.15 am – 10.15 am: Student Presentations
Crystal Room
   
8.15 am – 8.45 am: High-Bandwidth Sensory Input Encoding, Readout, and Prediction Methods for Living Neuronal Networks on Microelectrode Arrays
Robert Ortman, Georgia Institute of Technology
   
8.45 am – 9.15 am: Quantitative Modeling of Action Potential Latency Elasticity
Riley T. Zeller-Townson, Georgia Institute of Technology
   
9.15 am – 9.45 am: Reservoir-Computing-Based, Biologically-Inspired Artificial Neural Network for Online Modeling of a Single Machine Infinite Bus System
Jing Dai, Georgia Institute of Technology
   
9.45 am – 10.15 am: Integrated Cellular Neural Networks for Wide Area Monitoring and Control of Smart Grids
Bipul Luitel and Karthikeyan Balasubramaniam, Missouri S&T
   
10.15 am – 10.45 am: Coffee Break
Crystal Room
   
10.45 am – 11.45 am: Way Forward
Crystal Room