Abstract is missing.
- GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic ArchitecturesMd Sahil Hassan, Michael Inouye, Miguel Castro-Gonzalez, Ilkin Aliyev, Joshua Mack, Maisha Hafiz, Ali Akoglu. 1-7 [doi]
- Expressive Dendrites in Spiking NetworksMark Plagge, Suma George Cardwell, Frances S. Chance. 1-8 [doi]
- Spiking Neural Network-based Flight ControllerDiego Chavez Arana, Omar A. García A., Luis Rodolfo García Carrillo, Ignácio Rubio Scola, Eduardo Steed Espinoza, Andrew T. Sornborger. 1-8 [doi]
- Text-to-Events: Synthetic Event Camera Streams from Conditional Text InputJoachim Ott, Zuowen Wang, Shih-Chii Liu. 1-10 [doi]
- PETNet-Coincident Particle Event Detection using Spiking Neural NetworksJan Debus, Charlotte Debus, Günther Dissertori, Markus Götz. 1-9 [doi]
- Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nmSai Sukruth Bezugam, Yihao Wu, JaeBum Yoo, Dmitri Strukov, Bongjin Kim. 1-7 [doi]
- TickTockTokens: a minimal building block for event-driven systemsJohannes Leugering. 1-8 [doi]
- Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for ControlCatherine D. Schuman, Charles P. Rizzo, Garrett S. Rose, James S. Plank. 1-5 [doi]
- Energy Efficient Implementation of MVM Operations Using Filament-Free Bulk RRAM ArrayAshwani Kumar, Jaeseoung Park, Yucheng Zhou, Jeong-Hoon Kim, Soumil Jain, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum. 1-5 [doi]
- Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic HardwareKang Jun Bai, Hao Jiang 0014. 1-5 [doi]
- Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence LearningShruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone. 1-7 [doi]
- Spiking Physics-Informed Neural Networks on Loihi 2Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis. 1-6 [doi]
- Hardware-aware Few-shot Learning on a Memristor-based Small-world ArchitectureKarthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand. 1-8 [doi]
- NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic ProcessorsHarideep Nair, William Leyman, Agastya Sampath, Quinn Jacobson, John Paul Shen. 1-9 [doi]
- Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings SamplingAli Safa, Vikrant Jaltare, Samira Sebt, Kameron Gano, Johannes Leugering, Georges G. E. Gielen, Gert Cauwenberghs. 1-5 [doi]
- Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator NetworksChristopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen. 1-9 [doi]
- jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic HardwareEric Müller 0001, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel. 1-6 [doi]
- SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural NetworksSreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian. 1-10 [doi]
- Biological Dynamics Enabling Training of Binary Recurrent NetworksG. William Chapman, Corinne Teeter, Sapan Agarwal, T. Patrick Xiao, Park Hays, Srideep Musuvathy. 1-7 [doi]
- *P. Michael Furlong, Nicole Sandra-Yaffa Dumont, Jeff Orchard. 1-5 [doi]
- Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-ChipManu Rathore, Garrett S. Rose. 1-8 [doi]