Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks

Autor: Heckel, Kade M., Nowotny, Thomas

As the role of artificial intelligence becomes increasingly pivotal in modern society, the efficient training and deployment of deep neural networks have emerged as critical areas of focus. Recent advancements in attention-based large neural architec

Externí odkaz: http://arxiv.org/abs/2402.18994

NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Autor: Yik, Jason, Berghe, Korneel Van den, Blanken, Douwe den, Bouhadjar, Younes, Fabre, Maxime, Hueber, Paul, Kleyko, Denis, Pacik-Nelson, Noah, Sun, Pao-Sheng Vincent, Tang, Guangzhi, Wang, Shenqi, Zhou, Biyan, Ahmed, Soikat Hasan, Joseph, George Vathakkattil, Leto, Benedetto, Micheli, Aurora, Mishra, Anurag Kumar, Lenz, Gregor, Sun, Tao, Ahmed, Zergham, Akl, Mahmoud, Anderson, Brian, Andreou, Andreas G., Bartolozzi, Chiara, Basu, Arindam, Bogdan, Petrut, Bohte, Sander, Buckley, Sonia, Cauwenberghs, Gert, Chicca, Elisabetta, Corradi, Federico, de Croon, Guido, Danielescu, Andreea, Daram, Anurag, Davies, Mike, Demirag, Yigit, Eshraghian, Jason, Fischer, Tobias, Forest, Jeremy, Fra, Vittorio, Furber, Steve, Furlong, P. Michael, Gilpin, William, Gilra, Aditya, Gonzalez, Hector A., Indiveri, Giacomo, Joshi, Siddharth, Karia, Vedant, Khacef, Lyes, Knight, James C., Kriener, Laura, Kubendran, Rajkumar, Kudithipudi, Dhireesha, Liu, Yao-Hong, Liu, Shih-Chii, Ma, Haoyuan, Manohar, Rajit, Margarit-Taulé, Josep Maria, Mayr, Christian, Michmizos, Konstantinos, Muir, Dylan, Neftci, Emre, Nowotny, Thomas, Ottati, Fabrizio, Ozcelikkale, Ayca, Panda, Priyadarshini, Park, Jongkil, Payvand, Melika, Pehle, Christian, Petrovici, Mihai A., Pierro, Alessandro, Posch, Christoph, Renner, Alpha, Sandamirskaya, Yulia, Schaefer, Clemens JS, van Schaik, André, Schemmel, Johannes, Schmidgall, Samuel, Schuman, Catherine, Seo, Jae-sun, Sheik, Sadique, Shrestha, Sumit Bam, Sifalakis, Manolis, Sironi, Amos, Stewart, Matthew, Stewart, Kenneth, Stewart, Terrence C., Stratmann, Philipp, Timcheck, Jonathan, Tömen, Nergis, Urgese, Gianvito, Verhelst, Marian, Vineyard, Craig M., Vogginger, Bernhard, Yousefzadeh, Amirreza, Zohora, Fatima Tuz, Frenkel, Charlotte, Reddi, Vijay Janapa

Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accu

Externí odkaz: http://arxiv.org/abs/2304.04640

Learning efficient backprojections across cortical hierarchies in real time

Autor: Max, Kevin, Kriener, Laura, García, Garibaldi Pineda, Nowotny, Thomas, Jaras, Ismael, Senn, Walter, Petrovici, Mihai A.

Models of sensory processing and learning in the cortex need to efficiently assign credit to synapses in all areas. In deep learning, a known solution is error backpropagation, which however requires biologically implausible weight transport from fee

Externí odkaz: http://arxiv.org/abs/2212.10249

Transient dynamics between displaced fixed points: an alternate nonlinear dynamical framework for olfaction

Autor: Nowotny Thomas, Buckley Christopher L

Publikováno v: BMC Neuroscience, Vol 12, Iss Suppl 1, p P237 (2011)

Externí odkaz: https://doaj.org/article/fc0df8c8e4c84937a0d31b9739af2cf9

Flexible neuronal network simulation framework using code generation for NVidia® CUDA™

Autor: Nowotny Thomas

Publikováno v: BMC Neuroscience, Vol 12, Iss Suppl 1, p P239 (2011)

Externí odkaz: https://doaj.org/article/bb3a7fc25ff943a0a4d786595116030d