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Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.

J. Sawada, F. Akopyan, A. Cassidy, B. Taba, M. DeBole, P. Datta, R. Alvarez-Icaza, A. Amir, J. Arthur, A. Andreopoulos, R. Appuswamy, H. Baier, D. Barch, D. Berg, C. di Nolfo, S. Esser, M. Flickner, T. Horvath, B. Jackson, J. Kusnitz, S. Lekuch, M. Mastro, T. Melano, P. Merolla, S. Millman, T. Nayak, N. Pass, H. Penner, W. Risk, K. Schleupen, B. Shaw, H. Wu, B. Giera, A. Moody, N. Mundhenk, B. Essen, E. Wang, D. Widemann, Q. Wu, W. Murphy, J. Infantolino, J. Ross, D. Shires, M. Vindiola, R. Namburu, and D. Modha. SC, page 12. ACM, (2016)

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Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.J. Sawada, F. Akopyan, A. Cassidy, B. Taba, M. DeBole, P. Datta, R. Alvarez-Icaza, A. Amir, J. Arthur, A. Andreopoulos and 36 other author(s). SC, page 12. ACM, (2016)Deep Multi-modal Vehicle Detection in Aerial ISR Imagery.W. Sakla, G. Konjevod, and T. Mundhenk. WACV, page 916-923. IEEE Computer Society, (2017)CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans.T. Mundhenk, and L. Itti. Neurocomputing, (2003)Biologically inspired feature-based categorization of objects.T. Mundhenk, V. Navalpakkam, H. Makaliwe, S. Vasudevan, and L. Itti. Human Vision and Electronic Imaging, volume 5292 of SPIE Proceedings, page 330-341. SPIE, (2004)Efficient Saliency Maps for Explainable AI.T. Mundhenk, B. Chen, and G. Friedland. CoRR, (2019)Improvements to context based self-supervised learning.T. Mundhenk, D. Ho, and B. Chen. CoRR, (2017)Frame Rate Fusion and Upsampling of EO/LIDAR Data for Multiple Platforms.T. Mundhenk, K. Kim, and Y. Owechko. CVPR Workshops, page 762-769. IEEE Computer Society, (2014)Computational modeling and exploration of contour integration for visual saliency.T. Mundhenk, and L. Itti. Biological Cybernetics, 93 (3): 188-212 (2005)A Model of Contour Integration in Early Visual Cortex.T. Mundhenk, and L. Itti. Biologically Motivated Computer Vision, volume 2525 of Lecture Notes in Computer Science, page 80-89. Springer, (2002)Improvements to Context Based Self-Supervised Learning.T. Mundhenk, D. Ho, and B. Chen. CVPR, page 9339-9348. IEEE Computer Society, (2018)

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Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.

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Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.