Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

Cited by (1,000)

Items 801–900 of 1,000

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    Reza Moazzezi, Peter Dayan · 2008 · Network Computation in Neural Systems
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    Alan Mosca, George D. Magoulas · 2018 · Soft Computing
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    Sebastian Weng, Jochen J. Steil · 2002 · Lecture notes in computer science
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  36. Evaluating the training dynamics of a CMOS based synapse
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  37. Probabilistic Verb Selection for Data-to-Text Generation
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    Nathaniel Saura, Thomas Gomez · 2023 · Europhysics Letters (EPL)
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    Rahul Sarpeshkar · 2010 · Cambridge University Press eBooks
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    Amal Bouti, Mohamed Adnane Mahraz, Jamal Riffi, Hamid Tairi · 2018 · International Conference on Intelligent Systems and Computer Vision (ISCV)
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    He Hu · 2018 · Lecture notes in computer science
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    Odysseus Katsaitis, Konstantine Kondylis, George Andrew Zombanakis · 2019 · Security and Defence Quarterly
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  53. Research on Classification and Recognition of Object Image Based on Convolutional Neural Network
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    Amin Zargaran, Uwe Janoske · 2020 · Computer Methods in Applied Mechanics and Engineering
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  59. Social Distancing and Face Mask Monitoring System Using Deep Learning Based on COVID-19 Directive Measures
    Swetha S V, J. Vijayalakshmi, S. Sankara Gomathi · 2021 · International Conference on Computing and Communications Technologies (ICCCT)
  60. An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
    Devarajan Sridharan, Brian Percival, John V. Arthur, Kwabena A. Boahen · 2007
  61. Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment
    Kazunori D. Yamada · 2018 · Algorithms for Molecular Biology
  62. Machine-learning based data recovery and its benefit to seismic acquisition: Deblending, data reconstruction, and low-frequency extrapolation in a simultaneous fashion
    Shotaro Nakayama, Gerrit Blacquière · 2020 · Second International Meeting for Applied Geoscience & Energy
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  65. TractorEYE: Vision-based Real-time Detection for Autonomous Vehicles in Agriculture
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  66. Noisy Computations during Inference: Harmful or Helpful?
    Minghai Qin, Dejan Vucinic · 2018 · arXiv (Cornell University)
  67. Spatial-Temporal Alignment Network for Action Recognition and Detection
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  68. Hardware design of spiking neural networks for energy efficient brain-inspired computing
    Nassim Abderrahmane · 2020 · theses.fr (ABES)
  69. T channel dynamics in a silicon LGN
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