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13 résultats
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Towards an Spiking Deep Belief Network for Face Recognition Application6th International Conference on Computer and Knowledge Engineering (ICCKE 2016), Oct 2016, Mashhad Iran
Communication dans un congrès
hal-01382624v1
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Memristor nanodevice for unconventional computing:review and applications[Research Report] Université de Lille 1, Sciences et Technologies; CRIStAL UMR 9189. 2016
Rapport
hal-01480614v1
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Parameter Exploration to Improve Performance of Memristor-Based Neuromorphic ArchitecturesIEEE Transactions on Multi-Scale Computing Systems, 2017, Oct.-Dec. 1 2018, 4 (4), ⟨10.1109/TMSCS.2017.2761231⟩
Article dans une revue
hal-01615032v1
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Combining a Volatile and Nonvolatile Memristor in Artificial Synapse to Improve Learning in Spiking Neural NetworksNANOARCH 2016 - 12th ACM/IEEE International Symposium on Nanoscale Architectures, Jul 2016, Beijing, China. ⟨10.1145/2950067.2950090⟩
Communication dans un congrès
hal-01368954v1
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N2S3, an Open-Source Scalable Spiking Neuromorphic Hardware Simulator[Research Report] Université de Lille 1, Sciences et Technologies; CRIStAL UMR 9189. 2017
Rapport
hal-01432133v2
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evt_MNIST: A spike based version of traditional MNIST an event-based MNIST1st International Conference on New Research Achievements in Electrical and Computer Engineering, May 2016, Teheran, Iran
Communication dans un congrès
hal-01382631v1
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Rate-coded DBN: An online strategy for spike-based deep belief networksBiologically Inspired Cognitive Architectures, 2018, 24, pp.59 - 69. ⟨10.1016/j.bica.2018.04.009⟩
Article dans une revue
hal-01808815v1
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N2S3, a Simulator for the Architecture Exploration of Neuromorphic AcceleratorsNeuComp 2015, Mar 2015, Grenoble, France. 2015
Poster de conférence
hal-01240444v1
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Impact of Increasing Number of Neurons on Performance of Neuromorphic ArchitectureCADS 2017 - 19th CSI International Symposium on Computer Architecture & Digital Systems, Dec 2017, Kish, Iran
Communication dans un congrès
hal-01633418v1
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POETS: A parallel cluster architecture for Spiking Neural NetworkInternational Journal of Machine Learning and Computing, In press
Article dans une revue
hal-02488808v1
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Unconventional Computing Using Memristive Nanodevices: From Digital Computing to Brain-like Neuromorphic AcceleratorNeural and Evolutionary Computing [cs.NE]. Université de Lille, Sciences et Technologies 2016. English. ⟨NNT : ⟩
Thèse
tel-01451613v1
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Spiking Neural Computing in Memristive Neuromorphic PlatformsSpringer Nature, Handbook of Memristor Networks, , In press, 978-3-319-76375-0. ⟨10.1007/978-3-319-76375-0_25⟩
Chapitre d'ouvrage
hal-02172472v1
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Unconventional digital computing approach: memristive nanodevice platformphysica status solidi (c), 2015, Issue physica status solidi (c) physica status solidi (c) Special Issue: E-MRS 2014 Spring Meeting – Symposium E • E-MRS 2014 Spring Meeting – Symposium F • E-MRS 2014 Spring Meeting – Symposium S, 12 (1-2), pp.222 - 228. ⟨10.1002/pssc.201400069⟩
Article dans une revue
istex
hal-01116577v1
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