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ORCIDNICE 2022: Virtual Event, USA
- Murat Okandan, James B. Aimone:
NICE 2022: Neuro-Inspired Computational Elements Conference, Virtual Event, USA, 28 March 2022- 1 April 2022. ACM 2022, ISBN 978-1-4503-9559-5 - Samuel Schmidgall, Joe Hays:
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks. 1-7 - James C. Knight, Thomas Nowotny:
Efficient GPU training of LSNNs using eProp. 8-10 - Daniel Gutierrez-Galan, Chiara Bartolozzi, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco:
Towards the Neuromorphic Implementation of the Auditory Perception in the iCub Robotic Platform. 11-12 - Madeleine Abernot, Thierry Gil, Aida Todri-Sanial
:
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection. 13-21 - Dighanchal Banerjee, Sounak Dey, Arun M. George, Arijit Mukherjee:
Efficient Optimized Spike Encoding of Multivariate Time-series. 22-28 - Felix Johannes Schmitt, Martin Paul Nawrot:
Evaluating parameter tuning and real-time closed-loop simulation of large scale spiking networks before mapping to neuromorphic hardware: Comparing GeNN and NEST. 29-31 - Adam Perrett, Sara Summerton, Andrew Gait, Oliver Rhodes:
Online learning in SNNs with e-prop and Neuromorphic Hardware. 32-39 - Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. 40-49 - George Brayshaw, Benjamin Ward-Cherrier, Martin J. Pearson:
Temporal and Spatio-temporal domains for Neuromorphic Tactile Texture Classification. 50-57 - Diego Chavez Arana, Alpha Renner, Andrew T. Sornborger:
A Neuromorphic Normalization Algorithm for Stabilizing Synaptic Weights with Application to Dictionary Learning in LCA. 58-60 - Johannes Leugering:
Modeling and analyzing neuromorphic SNNs as discrete event systems. 61-62 - Luke Parker, Frances S. Chance, Suma Cardwell:
Benchmarking a Bio-inspired SNN on a Neuromorphic System. 63-66 - Felix Wang, Corinne Teeter, Sarah Luca, Srideep Musuvathy, Brad Aimone:
Localization through Grid-basedEncodings on Digital Elevation Models. 67-69 - Jack Lindsey, James B. Aimone:
Sequence Learning and Consolidation on Loihi using On-chip Plasticity. 70-72 - Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady:
Integer Factorization with Compositional Distributed Representations. 73-80 - Connor Bybee, Friedrich T. Sommer:
Optimal Oscillator Memory Networks. 81-83 - Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose:
A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. 84-85 - Pau Vilimelis Aceituno:
Information Theory Limits of Neuromorphic Energy Efficiency. 86-87 - Kenneth Michael Stewart, Andreea Danielescu, Timothy M. Shea, Emre Neftci:
Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware. 88-97 - Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel:
Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL. 98-100 - James Paul Turner, Jens Egholm Pedersen, Jörg Conradt, Thomas Nowotny:
Event-based dataset for classification and pose estimation. 101-103 - Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici:
Quantum many-body states: A novel neuromorphic application. 104-106 - Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. 107-111 - Nik Dennler, Damien Drix, Shavika Rastogi, André van Schaik, Michael Schmuker:
Rapid Inference of Geographical Location with an Event-based Electronic Nose. 112-114 - Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer:
Computing on Functions Using Randomized Vector Representations (in brief). 115-122
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