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ORCIDNICE 2024: La Jolla, CA, USA
- Neuro Inspired Computational Elements Conference, NICE 2024, La Jolla, CA, USA, April 23-26, 2024. IEEE 2024, ISBN 979-8-3503-9058-2
- Mark Plagge, Suma George Cardwell
, Frances S. Chance:
Expressive Dendrites in Spiking Networks. 1-8 - Diego Chavez Arana, Omar A. García A., Luis Rodolfo García Carrillo, Ignácio Rubio Scola, Eduardo Steed Espinoza, Andrew T. Sornborger:
Spiking Neural Network-based Flight Controller. 1-8 - Harideep Nair, William Leyman, Agastya Sampath, Quinn Jacobson, John Paul Shen:
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors. 1-9 - Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel:
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. 1-6 - Manu Rathore, Garrett S. Rose:
Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-Chip. 1-8 - Md Sahil Hassan, Michael Inouye, Miguel Castro-Gonzalez, Ilkin Aliyev, Joshua Mack, Maisha Hafiz, Ali Akoglu:
GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures. 1-7 - Catherine D. Schuman, Charles P. Rizzo, Garrett S. Rose, James S. Plank:
Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control. 1-5 - G. William Chapman, Corinne Teeter, Sapan Agarwal, T. Patrick Xiao, Park Hays, Srideep Musuvathy:
Biological Dynamics Enabling Training of Binary Recurrent Networks. 1-7 - Ashwani Kumar, Jaeseoung Park, Yucheng Zhou, Jeong-Hoon Kim, Soumil Jain, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum:
Energy Efficient Implementation of MVM Operations Using Filament-Free Bulk RRAM Array. 1-5 - Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. 1-10 - Sai Sukruth Bezugam, Yihao Wu, JaeBum Yoo, Dmitri Strukov, Bongjin Kim:
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm. 1-7 - Kang Jun Bai, Hao Jiang:
Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware. 1-5 - Johannes Leugering:
TickTockTokens: a minimal building block for event-driven systems. 1-8 - Jan Debus, Charlotte Debus, Günther Dissertori, Markus Götz:
PETNet-Coincident Particle Event Detection using Spiking Neural Networks. 1-9 - Christopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen:
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. 1-9 - Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand:
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. 1-8 - Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis:
Spiking Physics-Informed Neural Networks on Loihi 2. 1-6 - P. Michael Furlong, Nicole Sandra-Yaffa Dumont, Jeff Orchard:
A Recurrent Dynamic Model for Efficient Bayesian Optimization*. 1-5 - Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone:
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. 1-7 - Ali Safa, Vikrant Jaltare, Samira Sebt, Kameron Gano, Johannes Leugering, Georges G. E. Gielen, Gert Cauwenberghs:
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling. 1-5 - Sreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian:
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks. 1-10
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last updated on 2024-11-08 20:17 CET by the dblp team
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