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Publication search results
found 57 matches
- 2024
- Nikhil Garg, Davide Florini, Patrick Dufour, Eloir Muhr, Mathieu-Coumba Faye, Marc Bocquet, Damien Querlioz, Yann Beilliard, Dominique Drouin, Fabien Alibart, Jean-Michel Portal:
Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits. ICONS 2024: 185-192 - Jiaxin Huang, Bernhard Vogginger, Florian Kelber, Hector A. Gonzalez, Klaus Knobloch, Christian Georg Mayr:
Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-Core Heterogeneous Neuromorphic Platform SpiNNaker2. ICONS 2024: 117-123 - Steven Abreu, Jens Egholm Pedersen:
Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware. ICONS 2024: 358-365 - Irene Ambrosini, Luna Gava, Massimiliano Iacono, Arren Glover, Madeleine Bartlett, Terrence C. Stewart, Chiara Bartolozzi:
Timing Actions in Games Through Bio-Inspired Reinforcement Learning. ICONS 2024: 82-89 - Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang:
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision. ICONS 2024: 94-101 - Malyaban Bal, Yi Jiang, Abhronil Sengupta:
Exploring Extreme Quantization in Spiking Language Models. ICONS 2024: 272-276 - Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal, Udayan Ganguly:
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. ICONS 2024: 78-81 - Gauthier Boeshertz, Giacomo Indiveri, Manu V. Nair, Alpha Renner:
Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons. ICONS 2024: 376-380 - Junghoon Chae, Seung-Hwan Lim, Shruti R. Kulkarni, Catherine D. Schuman:
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. ICONS 2024: 327-330 - G. William Chapman, Andrew S. Alexander, Frances S. Chance, Michael E. Hasselmo:
Self-Supervised Mapping and Localization by Predictive Learning. ICONS 2024: 193-200 - Md Tawsif Rahman Chowdhury, Huynh Quang Nguyen Vo, Paritosh Ramanan, Murat Yildirim, Gozde Tutuncuoglu:
The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs. ICONS 2024: 336-342 - Florian Feiler, Emre Neftci, Younes Bouhadjar:
Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks. ICONS 2024: 366-370 - Thomas Firmin, Pierre Boulet, El-Ghazali Talbi:
Asynchronous Multi-Fidelity Hyperparameter Optimization of Spiking Neural Networks. ICONS 2024: 55-62 - Ashish Gautam, Takashi Kohno, Prasanna Date, Robert M. Patton, Thomas E. Potok:
A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing. ICONS 2024: 209-216 - Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa:
Exploration of Novel Neuromorphic Methodologies for Materials Applications. ICONS 2024: 282-286 - Ahmed Hasssan, Jian Meng, Anupreetham Anupreetham, Jae-sun Seo:
IM-SNN: Memory-Efficient Spiking Neural Network with Low-Precision Membrane Potentials and Weights. ICONS 2024: 148-155 - Yang Ho, Armida Carbajal, Leonardo Escamilla, Ali Pinar:
Neuromorphic Monte Carlo Tree Search Methods for Shortest Path Interdiction. ICONS 2024: 307-311 - Kendric Hood, Ang Li, Qiang Guan:
SNNPG: Using Spiking Neural Networks to Detect Attacks in the Power Grid. ICONS 2024: 224-228 - Jack Hutchins, Diego Ferrer, James Fillers, Catherine D. Schuman:
Black-Box Adversarial Attacks on Spiking Neural Network for Time Series Data. ICONS 2024: 229-233 - Simon Janssen
, Stijn Groenen
Solving Minimum Spanning Tree Problem in Spiking Neural Networks: Improved Results. ICONS 2024: 47-54 - Yi Jiang, Sen Lu, Abhronil Sengupta:
Stochastic Spiking Neural Networks with First-to-Spike Coding. ICONS 2024: 24-31 - Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati, Osvaldo Simeone, Johannes Dommel, Slawomir Stanczak:
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck. ICONS 2024: 16-23 - Jann Krausse, Sven Nitzsche, Brian Pachideh, Carmen Weigelt, Klaus Knobloch, Jürgen Becker:
Exploring Neuronal Leakage for Spiking Neural Networks on Event-Driven Hardware. ICONS 2024: 140-147 - Muath Abu Lebdeh, Kasim Sinan Yildirim, Davide Brunelli:
Per Layer Specialization for Memory-Efficient Spiking Neural Networks. ICONS 2024: 169-176 - Jiaqi Lin, Malyaban Bal, Abhronil Sengupta:
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. ICONS 2024: 312-318 - Tianze Liu, Md Abu Bakr Siddique, Hongyu An:
Mimicking Associative Learning of Rats via a Neuromorphic Robot in Open Field Maze Using Spatial Cell Models. ICONS 2024: 299-306 - Jamie Lohoff, Jan Finkbeiner, Emre Neftci:
SNNAX - Spiking Neural Networks in JAX. ICONS 2024: 251-255 - Sarah Luca, Felix Wang, Srideep Musuvathy:
A Spiking Neuromorphic Algorithm for Markov Reward Processes. ICONS 2024: 350-357 - Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das:
Neuromorphic Computing for the Masses. ICONS 2024: 39-46 - Luke McCombs, Drew Friend, Luke Whatley, Catherine D. Schuman:
Competitive Co-Evolution with Spiking Neural Networks. ICONS 2024: 242-246
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