Venue: George Mason University, Arlington Campus, 3351 Fairfax Dr, Arlington, VA 22201

July 30, 2024

09:00-10:00Keynote: Prof. Shih-Chii Liu
10:00-11:30Full Award Talks (Session Chairs: Catherine Schuman, Maryam Parsa)
10:00-10:30
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney and David Kappel.

10:30-11:00
IM-SNN: Memory-Efficient Spiking Neural Network with Low-Precision Membrane Potentials and Weights. Ahmed Hasssan, Jian Meng, Anupreetham Anupreetham and Jae-sun Seo.

11:00-11:30
Programmable Synapses and Dendritic Circuits for Superconducting Optoelectronic Neuromorphic Computing. Bryce Primavera, Saeed Khan, Samuel Adler and Jeffrey Shainline.
11:30-13:00Lunch Break
13:00-14:30Lightning Talks: Algorithms (Session Chair: Charles Rizzo)
13:00-13:15
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. Junghoon Chae, Seung-Hwan Lim, Shruti Kulkarni and Catherine Schuman.

13:15-13:30
Bio-Inspired Active Silicon Dendrite for Direction Selectivity. Luke Parker, Suma Cardwell, Frances Chance and Scott Koziol.

13:30-13:45
Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering. Narasinga Rao Miniskar, Aaron Young, Kazi Asifuzzaman, Shruti Kulkarni, Prasanna Date, Alice Bean and Jeffrey S. Vetter.

13:45-14:00
Strategic Considerations for Neuromorphic Computing. Craig Vineyard, William Severa and James Aimone.

14:00-14:15
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks. Hamed Poursiami, Ihsen Alouani and Maryam Parsa.

14:15-14:30 – Virtual
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. Jimmy Weber, Julian Göltz, Laura Kriener, Peter Lake, Mihai A. Petrovici and Melika Payvand.
14:30-15:00Coffee Break
15:00-16:30Lightning Talks: Hardware (Session Chair: Gina Adam)
15:00-15:15
Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits. Nikhil Garg, Davide Florini, Patrick Dufour, Eloir Muhr, Mathieu Faye, Marc Bocquet, Damien Querlioz, Yann Beilliard, Dominique Drouin, Fabien Alibart and Jean-Michel Portal.

15:15-15:30
In-memory computation using CMOS-integrated resistive RAM for robotic navigation. Jeelka Solanki, Jacob Pelton, Rocco Febbo, Maximilian Liehr, Andrew DeCandia, Karsten Beckmann, Garrett Rose and Nathaniel Cady.

15:30-15:45 – Virtual
Spatiotemporal Dendritic Processing In Superconducting Optoelectronic Networks. Ryan O’Loughlin, Bryce Primavera and Jeffrey Shainline.

15:45-16:00
The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs. Md Tawsif Rahman Chowdhury, Huynh Quang Nguyen Vo, Paritosh Ramanan, Murat Yildirim and Gozde Tutuncuoglu.

16:00-16:15
Digital Computing Continuum Abstraction for Neuromorphic Systems. Fredrik Sandin, Ulf Bodin, Anders Lindgren and Olov Schelén.

16:15-16:30
Variation-Aware Non-linear Mapping for Honey-Memristor Based Neuromorphic System. Harshvardhan Uppaluru, Md Mehedi Hasan Tanim, Md Omar Faruque, Mohammed Rafeeq Khan, Zoe Templin, Feng Zhao and Jinhui Wang.
17:00-19:00 Poster session
A spiking-domain implementation of electronic structure theory. Aakash Yadav, Daniel Hedman and Hongsik Jeong.

Smart Framework for Searching Optimal Neural Models using the Spiking Neural Network. Mr Sanaullah, Kaushik Roy, Ulrich Rückert and Thorsten Jungeblut.

Spiking Neural Networks for General Purpose Computing. Daniel Puckett and Kaylin Hagopian.

Impact of Non-Idealities of Non-Volatile Memory (NVM) Synapse Devices on Performance of Compute-In-Memory (CIM) Arrays For Conventional and Edge AI, as Studied Through A Novel Simulator: CIM-Sim. Aniket Sadashiva, Amod Holla and Debanjan Bhowmik.

Evaluation of Hardware Implementation of Central Pattern Generators on Multiple Platforms for Robot Motion Control.
Vishnu Kashyap, Joseph Ereifej, Vijay Shankaran Vivekanand, Shahin Hashemkhani, Samarth Chopra and Rajkumar Kubendran.

Towards Pairwise Ising-Type Maximum Entropy Models Integrated Cost Function for Optimizing SNN Deployment. Wanhong Huang.

High endurance ferroelectric Hf0.5Zr0.5O2 devices for back-end integration in neuromorphic hardware. Xinye Li, Padma Srivari and Sayani Majumdar.

Implementation of Electronic Ring Oscillator Networks, and Their Improved Computation Time Compared to a Popular Classical Optimization Algorithm for the Max-Cut Problem. Sanyam Singhal, Nakul Aggarwal, Preetish Shailendra Sathawane, Yashomati Purushottam Sarnaik, Aniket Sadashiva and Debanjan Bhowmik.

Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs. Marzieh Hassanshahi Varposhti, Mahyar Shahsavari and Marcel van Gerven.

Interface-Type Memristor Based Neuromorphic Systems. Harshvardhan Uppaluru, Sundar Kunwar, Aiping Chen and Jinhui Wang.

Device-to-Device Variation Effect on Memristor-based In-Memory Computing for Classification Tasks. Mohammad Reza Eslami, Soheib Takhtardeshir, Sarah Sharif and Yaser Mike Banad.

Towards Reliable Memristor-based AI Accelerators. Shamik Kundu, Kezhou Yang, Rami Ismael, Abhronil Sengupta and Kanad Basu.

Neuromorphic Computing for Power Grids Decarbonization and Renewable Integration. Kaveri Mahapatra and Xiaoyuan Fan.

Audio Source Localization Based on Binaural Microphone Array Configuration. Shiqi Wu and Rajkumar Chinnakonda Kubendran.

Evaluation of Ferroelectric Devices for Neuromorphic Applications. Julia Steed, Andreu Glasmann, Sina Najmaei, Sebastien Boussard, James Plank and Catherine Schuman.

Biologically Realistic Spiking Neural Networks Trained on AI-Relevant Datasets for Neuromorphic Computing. Joseph Kilgore, Jeffrey Kopsick, Giorgio Ascoli and Gina Adam.

Motion Tracking Using DVS Sensor with Camera Panning. Joshua Poravanthattil, Stephen Palli and Rajkumar Kubendran.

Orchestrating Spiking Dynamics with Dendritic Activation Functionality for Bolstering Expressivity and Learning Efficiency. Mingkun Xu, Runxi Tang, Yusong Wang, Huifeng Yin and Shuai Zhong.

Small-world Hardware configuration search for optimal accuracy resource trade off. Théo Ballet, Jimmy Weber and Melika Payvand.

Concept of a System-on-Chip Research Platform Benchmarking Interaction of Memristor-based Bio-inspired Computing Paradigms. Christian Grewing, Arun Ashok, Michael Schiek, André Zambanini and Stefan Van Waasen.

Designing LIF-based Controllers for Neuromorphic Closed-Loop Deep Brain Stimulation by Building a Parkinson’s Disease Dataset. Ananna Biswas and Hongyu An.

Audio Source Localization using Binaural Setup. Joseph Black, Jefferson Boothe, Yasser Morsy and Rajkumar Kubendran.

A rule-based greedy approach to optimize spiking neural network by dynamically optimizing the absolute refractory period. Sree Nirmillo Biswash Tushar, Nishith Nirjhar Chakraborty, Hritom Das, Catherine D. Schuman and Garrett S. Rose.

Combinatorial Encoder for Spiking Neural Network. Olivier Belan and Dominique Chu.

Potential of Combined Learning Strategies to Enhance Energy Efficiency of Spiking Neuromorphic Systems. Ali Shiri Sichani and Sai Kumar Kankatala.

A Minimal Inter-core Communication Approach to Sparse Neural Network Inference In A Chip Multiprocessor Architecture. Akwasi Akwaboah, Hee Young Chae, Daniel Mendat, Aaron Sampson, Martin Lohmann, Christian Mayr, Ernst Niebur, Stefan Mihalas, Andreas Andreou and Ralph Etienne-Cummings.

Mohawk: A Vertical Federated Learning Framework Using Spiking Neural Networks. Maryam Abbasihafshejani, Anindya Maiti and Murtuza Jadliwala.

Neuromorphic Implementation of Oscillatory Neural Networks for Graph Coloring. Anmol Biswas, Sumedh Risbud and Udayan Ganguly.

2T1R Regulated Memristor Conductance Control Array Architecture for Neuromorphic Computing using 28nm CMOS Technology. Neethu Kuriakose, Arun Ashok, Christian Grewing, Andre Zambanini and Stefan van Waasen.

July 31, 2024

09:00-10:00Keynote: Prof. Andre Van Schaik
Applications of Neuromorphic Engineering at the International Centre for Neuromorphic Systems
10:15-11:30Discussion Panel on Neuromorphic Systems and U.S. Government
 
Dr. Chou Hung, Program Manager, Neurophysiology of Cognition, U.S. Army Research Laboratory.
Dr. Robinson Pino, Program Manager, Advanced Scientific Computing Research (ASCR), U.S. Department of Energy (DOE).
Dr. Grace Hwang, Program Director, National Institutes of Health (NIH), National Institute of Neurological Disorders and Stroke (NINDS), Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative.
Dr. Alvaro Velasquez, Program Manager, Information Innovation Office (I2O), DARPA.
Dr. Hal Greenwald, Program Officer, Cognitive & Computational Neuroscience, Program Officer (Acting), Computational Cognition & Machine Intelligence, Air Force Office of Scientific Research.
Dr. Joseph Monaco, Scientific Program Manager, NIH/NINDS BRAIN Initiative.
11:30-13:00Lunch break
13:00-14:30Lightning Talks: Applications (Session Chair: Felix Wang)
13:00-13:15
Timing Actions in Games through Bio-Inspired Reinforcement Learning. Irene Ambrosini, Luna Gava, Massimiliano Iacono, Arren Glover, Madeline Bartlett, Terrence C. Stewart and Chiara Bartolozzi.

13:15-13:30
Continuous Learning for Real-Time Auditory Blind Source Separation Applications. Erika Schmitt, Sanchit Gupta and Patrick Abbs.

13:30-13:45
Exploration of Novel Neuromorphic Methodologies for Materials Applications. Derek Gobin, Shay Snyder, Maryam Parsa, Guojing Cong, Shruti Kulkarni and Catherine Schuman.

13:45-14:00
Realtime Person Identification via Gait Analysis using IMU Sensors on Edge Devices. Shanmuga Venkatachalam, Harideep Nair, Prabhu Vellaisamy, Yongqi Zhou, Ziad Youssfi and John Paul Shen.

14:00-14:15
Edge Device CNN Classification Using Eventized RF Fingerprints. Michael J. Smith, Michael A. Temple and James W. Dean.

14:15-14:30
Spiking Neural Networks as a Controller for Emergent Swarm Agents. Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel Brown, Maryam Parsa and Cameron Nowzari.
14:30-15:00Coffee Break
15:00-16:45Lightning Talks: Algorithms (Session Chair: Ashish Gautam)
15:00-15:15
Parallelized Multi-Agent Bayesian Optimization in Lava. Shay Snyder, Derek Gobin, Victoria Clerico, Sumedh Risbud and Maryam Parsa.

15:15-15:30 – Virtual
Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware. Steven Abreu and Jens Pedersen.

15:30-15:45
Supervised Radio Frequency Interference Detection with SNNs. Nicholas Pritchard, Andreas Wicenec, Mohammed Bennamoun and Richard Dodson.

15:45-16:00
Black-Box Adversarial Attacks on Spiking Neural Network for Time Series Data. Jack Hutchins, Diego Ferrer, James Fillers and Catherine Schuman.

16:00-16:15
Exploring Extreme Quantization in Spiking Language Models. Malyaban Bal, Yi Jiang and Abhronil Sengupta.

16:15-16:30
Neuromorphic Monte Carlo Tree Search Methods for Shortest Path Interdiction. Yang Ho, Armida Carbajal, Leonardo Escamilla and Ali Pinar.

16:30-16:45 – Virtual
On the role of time-constant hierarchy in Spiking Neural Networks. Filippo Moro and Melika Payvand.
RECEPTION
Venue: WHINO
Address: 4238 Wilson Boulevard, Arlington, VA 22203
Time: 6-10pm

August 1, 2024

09:00-10:00Keynote: Dr. Terry Stewart
Shallow Networks for Neuromorphics.
10:00-11:40Full Talks: Algorithm/Hardware (Session Chair: Abhronil Sengupta)
10:00-10:25 – Virtual
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision. Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh and Guangzhi Tang.

10:25-10:50
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation. Victoria Clerico, Jason Sinaga, Md Abdullah-Al Kaiser, Shay Snyder, Arya Lohia, Gregory Schwartz, Maryam Parsa and Akhilesh Jaiswal.

10:50-11:15
Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons. Gauthier Boeshertz, Giacomo Indiveri, Manu Nair and Alpha Renner.

11:15-11:40
Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs. Thomas Summe, Clemens Schaefer and Siddharth Joshi.
11:40-13:00Lunch break
13:00-14:30Lightning Talks: Algorithms (Session Chair: Akhilesh Jaiswal)
13:00-13:15
Using STACS as a high-performance simulation backend for Fugu. Felix Wang and William Severa.

13:15-13:30
Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks. Cody Scharzenberger, Shay Snyder, Sumedh Risbud, Joe Hays and Maryam Parsa.

13:30-13:45
Competitive Co-Evolution with Spiking Neural Networks. Luke McCombs, Drew Friend and Catherine Schuman.

13:45-14:00
Modeling Spiking Neurons without Spikes. Jeffrey Shainline, Bryce Primavera and Ryan O’Loughlin.

14:00-14:15
A Spiking Neuromorphic Algorithm for Markov Reward Processes. Sarah Luca, Felix Wang and Srideep Musuvathy.

14:15-14:30
Self-Supervised Mapping and Localization by Predictive Learning. William Chapman, Andrew Alexander, Frances Chance and Michael Hasselmo.
14:30-15:00 Coffee break
15:00-16:30Lightning Talks: Mixed Topics (Session Chair: Ramtin Zand)
15:00-15:15
Neuromorphic Computing for the Masses. Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. L Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, James Shackleford, Eric Gallo and Anup Das.

15:15-15:30
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware. James Seekings, Peyton Chandarana, Mahsa Ardakani, Mohammadreza Mohammadi and Ramtin Zand.

15:30-15:45
Exploring Neuronal Leakage for Spiking Neural Networks on Event-Driven Hardware. Jann Krausse, Sven Nitzsche, Brian Pachideh, Carmen Weigelt, Klaus Knobloch and Juergen Becker.

15:45-16:00
SNNPG: Using Spiking Neural Networks to Detect Attacks in the Power Grid. Kendric Hood, Ang Li and Qiang Guan.

16:00-16:15
Mimicking Associative Learning of Rats via a Neuromorphic Robot in Open Field Maze using Spatial Cell Models. Tianze Liu, Md Abu Bakr Siddique and Hongyu An.

16:15-16:30
Solving Minimum Spanning Tree Problem in Spiking Neural Networks: Improved Results. Simon Janssen, Stijn Groenen, Simon Reichert and Johan Kwisthout.

August 2, 2024

09:00-10:40Full Talks: Algorithms (Session Chair: Harshvardhan Uppaluru)
09:00-09:25
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel and Anand Subramoney.

09:25-09:50
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. Jiaqi Lin, Malyaban Bal and Abhronil Sengupta.

09:50-10:15 – Virtual
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck. Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati, Osvaldo Simeone, Johannes Dommel and Slawomir Stanczak.

10:15-10:40
A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing. Ashish Gautam, Takashi Kohno, Prasanna Date, Robert Patton and Thomas Potok.
10:40-11:40 Lightning talks: Algorithms (Session Chair: Aaron Young)
10:40-10:55
Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks. Thomas Firmin, Pierre Boulet and El-Ghazali Talbi.

10:55-11:10
Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks. Tokey Tahmid, Mark Gates, Piotr Luszczek and Catherine Schuman.

11:10-11:25 – Virtual
Per Layer Specialization for Memory-Efficient Spiking Neural Networks. Muath Abu Lebdeh, Kasim Sinan Yildirim and Davide Brunelli.

11:25-11:40
Stochastic Spiking Neural Networks with First-to-Spike Coding. Yi Jiang, Sen Lu and Abhronil Sengupta.
11:40-13:00 Lunch break
13:00-14:30Lightning Talks (Session Chair: William Chapman)
13:00-13:15 – Virtual
Real-time Supervised Spiking Neural Network for Cerebellar Purkinje Cells Spike Detection and Classification. Alireza Raisiardali.

13:15-13:30
Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2. Jiaxin Huang, Bernhard Vogginger, Florian Kelber, Hector Gonzalez, Klaus Knobloch and Christian Mayr.

13:30-13:45
Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks. Florian Feiler, Emre Neftci and Younes Bouhadjar.

13:45-14:00 – Virtual
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal and Udayan Ganguly.

14:00-14:15
Natural Language to Verilog: Design of a Recurrent Spiking Neural Network using Large Language Models and ChatGPT.
Paola Vitolo, George Psaltakis, Michael Tomlinson, Gian Domenico Licciardo and Andreas Andreou.

14:15-14:30
SNNAX – Spiking Neural Networks in JAX. Jamie Lohoff, Jan Finkbeiner and Emre Neftci.
14:30-15:00 Coffee break
15:00-16:30Special session on “Dendritic Processing for Neuromorphic” by Frances S. Chance, and G. William Chapman (Sandia National Laboratories).
16:30-18:00Three parallel sessions:
 
Tutorial 1: “General purpose architectures for neuromorphic machine learning” by Mark Schöne (TUD Dresden University of Technology, Germany) and Neeraj Sushma (Institute for Neural Computation, Ruhr University Bochum, Germany). – Main Room

Tutorial 2: “SANA-FE: Simulating Advanced Neuromorphic Architectures for Fast Exploration” by James Boyle, Andreas Gerstlauer (The University of Texas at Austin) and Mark Plagge, Suma George Cardwell, Frances S. Chance (Sandia National Laboratories). – Room 118

Tutorial 3: “Simulation Tool for Asynchronous Cortical Streams (STACS)” by Felix Wang (Sandia National Laboratories).– Room 121