NICE

Publications

2024

Harideep Nair, William Leyman, Agastya Sampath, Quinn Jacobson, John Paul Shen
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors. NICE (2024)
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. NICE (2024)
Mark Plagge, Suma George Cardwell, Frances S. Chance
Expressive Dendrites in Spiking Networks. NICE (2024)
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. NICE (2024)
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. NICE (2024)
Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. NICE (2024)
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. NICE (2024)
P. Michael Furlong, Nicole Sandra-Yaffa Dumont, Jeff Orchard
. NICE (2024)
Sreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks. NICE (2024)
Neuro Inspired Computational Elements Conference, NICE 2024, La Jolla, CA, USA, April 23-26, 2024 NICE (2024)
Christopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. NICE (2024)
G. William Chapman, Corinne Teeter, Sapan Agarwal, T. Patrick Xiao, Park Hays, Srideep Musuvathy
Biological Dynamics Enabling Training of Binary Recurrent Networks. NICE (2024)
Johannes Leugering
TickTockTokens: a minimal building block for event-driven systems. NICE (2024)
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. NICE (2024)
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. NICE (2024)
Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. NICE (2024)
Joachim Ott, Zuowen Wang, Shih-Chii Liu
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. NICE (2024)
Jan Debus, Charlotte Debus, Günther Dissertori, Markus Götz
PETNet-Coincident Particle Event Detection using Spiking Neural Networks. NICE (2024)
Manu Rathore, Garrett S. Rose
Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-Chip. NICE (2024)
Kang Jun Bai, Hao Jiang
Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware. NICE (2024)
Sai Sukruth Bezugam, Yihao Wu, JaeBum Yoo, Dmitri Strukov, Bongjin Kim
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm. NICE (2024)
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. NICE (2024)

2023

2022