Tutorials and Related Presentations

Loihi Architecture Overview

NICE 2019 - Day 4d Loihi Tutorial Part 1 - YouTube

NxSDK Architecture and Tutorials

NICE 2019 - Day 4e Loihi Tutorial Part 2 - YouTube

Lava

DNN on Loihi

• Gradient-based learning with Hebbian plasticity in deep and structured neural networks (Cengiz Pehlevan, Harvard University)

• Auditory Information Processing Using Spiking Neural Networks (Jibin Wu and Zihan Pan and Li Haizhou, Human Language Technology Lab at National University of Singapore)

• Event-based Vision Algorithms (Kostas Daniilidis, University of Pennsylvania)

• Re-engineering Computing with Spike-based Learning: Algorithms, Architecture, and Devices (Kaushik Roy, Purdue University)

• Efficient Conversion and Deployment of Spiking Neural Networks for Gesture Recognition using the Loihi Chip (Alberto Marchisio TU Wien)

• Neuromorphic Skins and Tactile Intelligence (Ben Tee, National University of Singapore)

• Biologically Plausible Spike Domain Backpropagation for Neuromorphic Implementation (Qinru Qiu, Syracuse University)

• Future perspectives for on-chip learning with e-prop (Franz Scherr and Philipp Plank and Martin Pernull, TU Graz)

• One-shot learning with spiking neural networks (Franz Scherr and Anand Subramoney and Christoph Stöckl, TU Graz)

• Neuromorphic Computing for Content-based Image Retrieval (Te-Yuan Liu and Ata Mahjoubfar and Daniel Prusinski and Luis Stevens Target Technology Services)

• Applying Neuromorphic Computing to Aerospace and Cyber Security Problems (Matilda Rhode, Airbus)

Frameworks for Neuromorphic Computing

• A Neuromorphic Future for Classic Computing Tasks (Bradley Aimone, Sandia National Laboratories)

• Dynamic Field Theory: A theoretical framework for the neural dynamics of cognition (Gregor Schöner, Ruhr-Universität Bochum)

• Vector-Symbolic approach to in-memory realization of Kohonen’s Self-Organizing maps (Evgeny Osipov, Luleå University of Technology)

Robotics

INRC Forum Presentations (2020-2021):

• Spiking Neural Networks for Simultaneous Localisation and Mapping in Neuromorphic Hardware (Raphaela Kreiser, INI UZH/ETH Zurich)

• Adaptive neuromorphic control for assistive robotics (Elishai Ezra Tsur, The Open University of Israel)

• From Brain-Cell Principles to Brain-Optimized Loihi Primitives Benchmarked in Brain-Morphic Robots (Konstantinos Michmizos (Rutgers University)

• Embedding the Loihi Kapoho Bay on Micro Air Vehicles: An Investigation into Neuromorphic Optical Flow Landing (Guido de Croon, Delft University of Technology)

• Brain-Derived Adaptive Control of Biomimetic Robots with Intel Loihi (Florian Walter, Technical University of Munich)

• A spiking Central Pattern Generator for the control of a simulated lamprey robot (Manos Angelidis, Emanuel Buchholz, Fortiss)

• Nonlinear swimming robot control in Loihi (Manos Angelidis, Emanuel Buchholz, fortiss)

• A PID Controller on Loihi for Drone Flight Control (Yulia Sandamirskaya, Intel)

• An algorithm for robust robotic control on Loihi (Dr. Christian Tetzlaff, University of Göttingen)

Neuromorphic Solutions for Optimization Problems

• Gradient-based learning with Hebbian plasticity in deep and structured neural networks (Cengiz Pehlevan; Harvard University)

• Cognitive Algorithms on the Intel Loihi (Tarek Taha, Chris Yakopcic; University of Dayton)

• Towards a neuromorphic complexity theory (Johan Kwisthout; Donders Institute, Radboud University)

Audio Neuro Processing

• Auditory Information Processing Using Spiking Neural Networks (Jibin Wu and Zihan Pan and Li Haizhou, Human Language Technology Lab at National University of Singapore)

• Ultra-sparse spike sequences for automatic recognition of auditory objects (Dezhe Jin, Pennsylvania State University)

Event-based Vision with Loihi

• Continual Local Learning in Spiking Neural Networks (Emre Neftci and Kenneth Stewart, UC Irvine)

• Re-engineering Computing with Spike-based Learning: Algorithms, Architecture, and Devices (Kaushik Roy, Purdue University)

• Efficient Conversion and Deployment of Spiking Neural Networks for Gesture Recognition using the Loihi Chip (Alberto Marchisio TU Wien)

• Embedding the Loihi Kapoho Bay on Micro Air Vehicles: An Investigation into Neuromorphic Optical Flow Landing (Guido de Croon and Julien Dupeyroux, Delft University of Technology)

• Event-based Vision Algorithms (Kostas Daniilidis, University of Pennsylvania)

Emerging Neuromorphic Sensors and Applications

• Continual Local Learning in Spiking Neural Networks (Emre Neftci and Kenneth Stewart, UC Irvine)

• Investigating Low Level Perception on the Loihi Architecture (Edward Kim, Drexel University)

• Efficient Conversion and Deployment of Spiking Neural Networks for Gesture Recognition using the Loihi Chip (Alberto Marchisio TU Wien)

• Neuromorphic Skins and Tactile Intelligence (Ben Tee, National University of Singapore)

• Embedding the Loihi Kapoho Bay on Micro Air Vehicles: An Investigation into Neuromorphic Optical Flow Landing (Guido de Croon and Julien Dupeyroux, Delft University of Technology)

• Making the Loihi taste: joint research efforts between IMB-CNM (CSIC) and INI (UZH/ETHZ) (Josep Maria Margarit Taulé, Institute of Microelectronics Barcelona)

• Event-based Vision Algorithms (Kostas Daniilidis, University of Pennsylvania)

Brain Computer Interface 

Scaling Up to Large Neuromorphic Systems

• A Neuromorphic Future for Classic Computing Tasks (J. Brad Aimone; Sandia National Lab)

• Neuromorphic nearest neighbor search on Intel’s Pohoiki Springs (Garrick Orchard, E. Paxon Frady; Intel Labs, Neuromorphic Computing Lab)