Schedule

 ICONS 2020 Virtual Conference Schedule

All times are given in Eastern Daylight Time (EDT/GMT-4).

Tuesday, July 28, 2020

9:30 AM-10:00 AM: Welcome

• Tom Potok (General Chair) and Katie Schuman (Program Chair)

10:00 AM-10:30 AM: Paper Discussion Session (Chair: Maryam Parsa)

• “Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks,” Bojian Yin, Federico Corradi and Sander Bohte
• “Spiking Backpropagation for Learning on Neuromorphic Hardware”, Andrew Sornborger, Alpha Renner, Forrest Sheldon, Anatoly Zlotnik and Louis Tao
• “Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware,” Angel Yanguas-Gil
• “Long Short-Term Memory Spiking Networks and Their Applications,” Ali Lotfi Rezaabad and Sriram Vishwanath

10:30 AM-11:00 AM: Paper Discussion Session (Chair: Angel Yanguas-Gil)

• “Neuromorphic circuits with Neural Modulation Enhancing the Information Content of Neural Signaling,” Rami Alzahrani and Alice Parker
• “Learning Spiking Neural Network Models of Drosophila Olfaction,” John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat and Edward Kim
• “Interception from a Dragonfly Neural Network Model,” Frances Chance
• “Spurious learning in networks with Spike Driven Synaptic Plasticity,” Adithya Gurunathan and Laxmi Iyer

11:00 AM-12:00 PM: Keynote: Sander Bohte (Video Link)

1:00 PM-1:30 PM: Paper Discussion Session (Chair: Brad Aimone)

• “Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks,” Daniel Elbrecht and Catherine Schuman
• “Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic Hardware,” Michael Hampo, David Fan, Tarek Taha, Todd Jenkins, Ashley DeMange, Stefan Westberg and Trevor Bihl
• “Layer-skipping connections facilitate training of layered networks using equilibrium propagation,” Jimmy Gammell, Sae Woo Nam and Adam McCaughan
• “Continuous Learning in a Single-Incremental-Task Scenario with Spike Features,” Ruthvik Vaila, John Chiasson and Vishal Saxena

1:30 PM-2:00 PM: Paper Discussion Session (Chair: Garrett Rose)

• “Energy Constraints Improve Liquid State Machine Performance,” Andrew Fountain and Cory Merkel
• “Batch training for neuromorphic systems with device non-idealities,” Yutong Gao, Shang Wu and Gina Adam
• “Effective Pruning of Binary Activation Neural Networks,” William Severa, Ryan Dellana and Craig Vineyard
• “Quantizing Spiking Neural Networks with Integers,” Clemens Schaefer and Siddharth Joshi

2:00 PM-3:00 PM: Keynote: Duygu Kuzum (Video Link)

6:00 PM-8:15 PM: Special Session on Quantum Reservoirs

• Part 1 Chair: Benjamin Lev
  • 6:00 PM-6:05 PM: Welcome Address, Dr. Graham Rowlands
  • 6:05 PM-6:25 PM: “A Reservoir Computing Approach to Quantum State Measurement,” Prof. Hakan Tureci
  • 6:25 PM-6:45 PM: “Designing a NISQ Reservoir with Maximal Memory Capacity for Volatility Forecasting,” Mr. Samudra Dasgupta
  • 6:45 PM-7:05 PM: “Quantum Reservoir Computing with a Single Nonlinear Oscillator,” Dr. Luke Govia
• Part 2 Chair: Luke Govia
  • 7:15 PM-7:35 PM: “Quantum Machine Learning on Near-Term Quantum Computers,” Prof. Keisuke Fujii
  • 7:35 PM-7:55 PM: “Quantum State Preparation with Quantum Reservoir Processing,” Dr. Tanjung Krisnanda
  • 7:55 PM-8:15 PM: “Associative Memory with Confocal Cavity QED,” Prof. Benjamin Lev

Wednesday, July 29, 2020

8:00 AM-9:00 AM: Keynote: Akira Hirose (Video Link)

9:00 AM-9:30 AM: Paper Discussion Session (Chair: Ed Kim)

• “An Astrocyte-Modulated Neuromorphic CPG for Hexapod RobotLocomotion on Intel’s Loihi,” Ioannis Polykretis, Guangzhi Tang and Konstantinos Michmizos
• “Recurrent and Spiking Modeling of Sparse Surgical Kinematics,” Neil Getty, Zixuan Zhao, Fangfang Xia, Stephan Gruessner and Liaohai Chen
• “Memristor Based Neuromorphic Adaptive Resonance Theory for One-shot Online learning and Network Intrusion Detection,” Shahanur Alam, Chris Yakopcic, Guru Subramanyam and Tarek Taha

9:30 AM-10:00 AM: Paper Discussion Session (Chair: Prasanna Balaprakash)

• “Implementation of a 12-Million Hodgkin-Huxley Neuron Network on a Single Chip,” Byungik Ahn
• “Reduction of the weight decay rate of Volatile Memory synapses in an analog hardware Neural Network for accurate and scalable on-chip learning,” Janak Sharda, Nilabjo Dey, Ankesh Jain and Debanjan Bhowmik
• “Design of a Conventional Transistor based Analog Integrated Circuit for On-chip Learning in a Spiking Neural Network,” Shikhar Tuli and Debanjan Bhowmik
• “NCPower: Power Modelling for NVM-based Neuromorphic Chip,” Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh Tuan Do, Paramasivam Vishnu, Wei Zhang and Rick Siow Mong Goh

10:30 AM – 11:30 AM: Doctoral Consortium Networking

• Mohammad H. Hasan, University of Nebraska – Lincoln
• Alexander Jones, University of Cincinnati
• Maryam Parsa, Purdue University
• Ioannis Polykretis, Rutgers University
• Guangzhi Tang, Rutgers University

1:00 PM-1:30 PM: Paper Discussion Session (Chair: Susan Mniszewski) 

• “Spike-based graph centrality measures,” Kathleen Hamilton, Tiffany Mintz, Prasanna Date and Catherine Schuman
• “Solving a steady-state PDE using spiking networks and neuromorphic hardware,” J. Darby Smith, William Severa, Aaron Hill, Leah Reeder, Brian Franke, Richard Lehoucq, Ojas Parekh and James Aimone
• “Modeling epidemic spread with spike-based models,” Kathleen Hamilton, Prasanna Date, Bill Kay and Catherine Schuman
• “Binary Matrix Multiplication with Application to Dynamical Systems On Loihi,” Oleksandr Iaroshenko and Andrew Sornborger

1:30 PM-2:00 PM: Paper Discussion Session (Chair: Cory Merkel)

• “A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs,” John Mitchell, Catherine Schuman and Thomas Potok
• “Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics,” Samiran Ganguly and Avik Ghosh
• “Reservoir Computing with Planar Nanomagnet Arrays,” Alexander Edwards, Peng Zhou, Nathan McDonald, Lisa Loomis, Clare Thiem and Joseph Friedman
• “A 1.52 pJ/Spike Reconfigurable Multimodal Integrate-and-Fire Neuron Array Transceiver,” Rajkumar Kubendran, Weier Wan, Siddharth Joshi, H.-S. Philip Wong and Gert Cauwenberghs

2:00 PM-3:00 PM: Keynote: Gert Cauwenberghs (Video Link)

Thursday, July 30, 2020

9:00 AM-11:40 AM: Special Session on Hardware-Based Reservoirs

• Part 1 Chair: Dr. Graham Rowlands
  • 9:00 AM-9:05 AM: Opening Remarks, Dr. Luke Govia
  • 9:05 AM-9:35 AM: “Introduction to Physical RC,” Prof. Gouhei Tanaka
  • 9:35 AM-9:55 AM: “Computing with Optical Reservoirs,” Prof. I. Fischer
  • 9:55 AM-10:15 AM: “Spintronic Oscillator Reservoirs,” Dr. M. Stiles
  • 10:15 AM-10:35 AM: “RC with Autonomous Boolean Networks on FPGA,” Prof. Daniel Gauthier
• Part 2 Chair: Prof. Daniel Gauthier
  • 10:40 AM-11:00 AM: “Combining Sensing and Neuromorphic Computing in MEMS,” Prof. Julien Sylvestre
  • 11:00 AM-11:20 AM: “Superconducting Circuit Reservoirs,” Dr. Graham Rowlands
  • 11:20 AM-11:40 AM: “Temporal data analysis in memristor-based RC systems,” Prof. Wei Lu

12:30 PM-2:00 PM: Poster Session Networking

• 12:40-12:50 PM: “Rethinking Neuromorphic Hardware Design – A Complexity Engineering Approach,” Natesh Ganesh
• 12:50-1:00 PM: “Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks ,” Abrar Anwar, Suma Cardwell, Srideep Musuvathy, William M. Severa, Craig M. Vineyard
• 1:00-1:10 PM: “Reservoir Computing with Planar Nanomagnet Arrays,” Alexander Edwards, Peng Zhou, Nathan R. McDonald, Lisa Loomis, Clare D. Thiem, Joseph S. Friedman
• 1:10-1:20 PM: “Reservoir Computing Augmentation in Micro-Sensors,” Mohammad H Hasan, Fadi Alsaleem, Ali Al-Ramini, Roozbeh Jafari, Siavash Pourkamali
• 1:20-1:30 PM: “Exploring neuromodulation for dynamic learning,” Anurag Reddy Daram, Dhireesha Kudithipudi
• 1:30-1:40 PM: “TENNLAB Framework for Neuromorphic Systems,” Charles Rizzo, Nick Skuda, Kody Bloodworth, John Carmack, Chaohui Zheng, Parker Mitchell, James Plank, Garrett Rose, and Katie Schuman
• 1:40-1:50 PM: “A Simple Compact Memristor Model for Neuromorphic ReRAM Devices,” Mohamad Moner Al Chawa, Rodrigo Picos and Ronald Tetzlaff
• 1:50-2:00 PM: “Learning to approximate functions using niobium doped strontium titanate memristors,” Thomas Tiotto, Jelmer Borst, Niels Taatgen

4:00 PM-6:30 PM: Special Session on Benchmarking and Metrics for Neuromorphic Systems

• 4:00-4:15 PM: Introduction by Organizers: Maryam Parsa, Catherine Schuman, William Severa, and Felix Wang
• 4:15-5:30 PM: Speakers
  • Aaron Hill
  • Dhireesha Kudithipudi
  • Arijit Raychaudhury
  • Kaushik Roy
  • Greg Cohen
• 5:30-5:45 PM: Panel Q&A
• 5:45-5:50 PM: Breakout Discussion Charge
• 5:50-6:15 PM: Breakout Discussions
  • Breakout 1: Non-Spiking Neural Hardware Benchmarking Tasks and Metrics
  • Breakout 2: Spiking Neuromorphic Benchmarking Tasks and Metrics
  • Breakout 3: Non-Spiking Neural Hardware Challenge Problems and Metrics
  • Breakout 4: Spiking Neuromorphic Challenge Problems and Metrics
• 6:15-6:30 PM: Breakout Reports and Session Conclusion