Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices

Autor: Fra, Vittorio, Leto, Benedetto, Pignata, Andrea, Macii, Enrico, Urgese, Gianvito

Neuromorphic models take inspiration from the human brain by adopting bio-plausible neuron models to build alternatives to traditional Machine Learning (ML) and Deep Learning (DL) solutions. The scarce availability of dedicated hardware able to actua

Externí odkaz: http://arxiv.org/abs/2407.04076

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing

Autor: Pedersen, Jens E., Abreu, Steven, Jobst, Matthias, Lenz, Gregor, Fra, Vittorio, Bauer, Felix C., Muir, Dylan R., Zhou, Peng, Vogginger, Bernhard, Heckel, Kade, Urgese, Gianvito, Shankar, Sadasivan, Stewart, Terrence C., Sheik, Sadique, Eshraghian, Jason K.

Publikováno v: Nat Commun 15, 8122 (2024)

Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neur

Externí odkaz: http://arxiv.org/abs/2311.14641

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, Ke, Weijie, Khoei, Mina A, Kleyko, Denis, Pacik-Nelson, Noah, Pierro, Alessandro, Stratmann, Philipp, 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., 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., 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

Four-year follow-up of psychiatric and psychosomatic profile in patients with Inflammatory Bowel Disease (IBD)

Autor: Sara Gostoli, Francesco Ferrara, Ludovica Quintavalle, Sara Tommasino, Graziano Gigante, Maria Montecchiarini, Alessia Urgese, Francesco Guolo, Regina Subach, Angelica D’Oronzo, Annamaria Polifemo, Federica Buonfiglioli, Vincenzo Cennamo, Chiara Rafanelli

Publikováno v: BMC Psychology, Vol 12, Iss 1, Pp 1-11 (2024)

Abstract Psychological characterization of patients affected by Inflammatory Bowel Disease (IBD) focuses on comorbidity with psychiatric disorders, somatization or alexithymia. Whereas IBD patients had higher risk of stable anxiety and depression for

Externí odkaz: https://doaj.org/article/f4ef3cedd3724958849568e3addd9706

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware

Autor: Muller-Cleve, Simon F, Fra, Vittorio, Khacef, Lyes, Pequeno-Zurro, Alejandro, Klepatsch, Daniel, Forno, Evelina, Ivanovich, Diego G, Rastogi, Shavika, Urgese, Gianvito, Zenke, Friedemann, Bartolozzi, Chiara

Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for numerous real-world activities. Recent deep learning approaches have reached outstanding accuracies in such tasks, but their implementation on conventiona

Externí odkaz: http://arxiv.org/abs/2205.15864