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Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors.

U. Çakal, Maryada, C. Wu, I. Ulusoy, and D. Muir. Neuromorph. Comput. Eng., 4 (1): 14011 (March 2024)

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Towards hardware Implementation of WTA for CPG-based control of a Spiking Robotic Arm.A. Linares-Barranco, E. Piñero-Fuentes, S. Canas-Moreno, A. Rios-Navarro, Maryada, C. Wu, J. Zhao, D. Zendrikov, and G. Indiveri. ISCAS, page 1057-1061. IEEE, (2022)Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors.U. Çakal, Maryada, C. Wu, I. Ulusoy, and D. Muir. Neuromorph. Comput. Eng., 4 (1): 14011 (March 2024)Neuromorphic implementation of ECG anomaly detection using delay chains.S. Gerber, M. Steiner, Maryada, G. Indiveri, and E. Donati. BioCAS, page 369-373. IEEE, (2022)A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures.F. Quintana, Maryada, P. Galindo, E. Donati, G. Indiveri, and F. Perez-Peña. CoRR, (2024)EGGS: Extraction of Gene Clusters Using Genome Context Based Sequence Matching Techniques.S. Kim, A. Bhan, B. Maryada, K. Choi, and Y. Brun. BIBM, page 23-28. IEEE Computer Society, (2007)Reduced-communication parallel dynamic mode decomposition.K. Maryada, and S. Norris. J. Comput. Sci., (2022)Developing interactive computer-aided detection tools to support translational clinical research.G. Danala, S. Mirniaharikandehei, M. Jones, T. Gai, S. Maryada, D. Wu, Y. Qiu, and B. Zheng. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke.G. Danala, S. Maryada, M. Heidari, B. Ray, M. Desai, and B. Zheng. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113171V. SPIE, (2020)Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.M. Heidari, S. Lakshmivarahan, S. Mirniaharikandehei, G. Danala, S. Maryada, H. Liu, and B. Zheng. IEEE Trans. Biomed. Eng., 68 (9): 2764-2775 (2021)Improving medical image segmentation and classification using a novel joint deep learning model.S. Mudduluru, S. Maryada, W. Booker, D. Hougen, and B. Zheng. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

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Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors.

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Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors.