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Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks.
Neuromorphic learning VLSI systems: A survey
Cauwenberghs, G · 1998
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Imagenet: A large-scale hierarchical image database
Deng, J. et al · 2009
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Introduction to spiking neural networks: Information processing, learning and applications
Ponulak, F. & Kasinski, A · 2011
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Neural codes for image retrieval
Babenko, A., Slesarev, A., Chigorin, A. & Lempitsky, V · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I. & Salakhutdinov, R · 2014
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Deep learning
LeCun, Y., Bengio, Y. & Hinton, G · 2015
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Deep learning in label-free cell classification
Chen, C. L. et al · 2016
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Deep image retrieval: Learning global representations for image search
Gordo, A., Almazán, J., Revaud, J. & Larlus, D · 2016
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Training spiking deep networks for neuromorphic hardware
Hunsberger, E. & Eliasmith, C · 2016
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A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications
James, C. D. et al · 2017
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A survey of neuromorphic computing and neural networks in hardware
Schuman, C. D. et al · 2017
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Time stretch and its applications
Mahjoubfar, A. et al · 2017
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End-to-end learning of deep visual representations for image retrieval
Gordo, A., Almazan, J., Revaud, J. & Larlus, D · 2017
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Large-scale image retrieval with attentive deep local features
Noh, H., Araujo, A., Sim, J., Weyand, T. & Han, B · 2017
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Deep visual-semantic quantization for efficient image retrieval
Cao, Y., Long, M., Wang, J. & Liu, S · 2017
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Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms (2017)
Xiao, H., Rasul, K. & Vollgraf, R · 2017
Demonstrating advantages of neuromorphic computation: a pilot study
Wunderlich, T. et al · 2019
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Do better imagenet models transfer better?
Kornblith, S., Shlens, J. & Le, Q. V · 2019
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Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Ge, Y., Zhang, R., Wang, X., Tang, X. & Luo, P · 2019
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Deep cytometry: deep learning with real-time inference in cell sorting and flow cytometry
Li, Y. et al · 2019
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Going deeper in spiking neural networks: VGG and residual architectures
Sengupta, A., Ye, Y., Wang, R., Liu, C. & Roy, K · 2019
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Low-power neuromorphic hardware for signal processing applications: A review of architectural and system-level design approaches
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Braindrop: A mixed-signal neuromorphic architecture with a dynamical systems-based programming model
Neckar, A. et al · 2018
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Loihi: A neuromorphic manycore processor with on-chip learning
Davies, M. et al · 2018
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Mapping spiking neural networks onto a manycore neuromorphic architecture
Lin, C.-K. et al · 2018
Cited alongside, same era.
Rajendran, B., Sebastian, A., Schmuker, M., Srinivasa, N. & Eleftheriou, E · 2019
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Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network
Han, B., Srinivasan, G. & Roy, K · 2020
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Neuromorphic nearest neighbor search using intel’s pohoiki springs
Frady, E. P. et al · 2020
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URL https://developer.nvidia.com/nvidia-system-management-interface
NVIDIA system management interface (2021) · 2021
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