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Collection : Aix-Marseille Universite

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Conference

Nullspace-based metric for classification of dynamical systems and sensors

Authors : Martinez, Dominique; Boutayeb, Mohamed;

Subjects: Classification; Dynamical systems; Machine LearningLugano; Switzerland

Source: 33rd Artificial Neural Networks and Machine Learning, ICANN 2024https://hal.science/hal-0477867533rd Artificial Neural Networks and Machine Learning, ICANN 2024, Sep 2024, Lugano,

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Academic Journal

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses

Authors : Garg, Nikhil; Balafrej, Ismael; Palhares, Joao, Henrique Quintino ...

Subjects: [PHYS]Physics [physics]; [SPI]Engineering Sciences [physics]

Source: ISSN: 2662-4443 ; Communications Materials ; https://hal.science/hal-05480282 ; Communications Materials, 2026, 7, pp.19. ⟨10.1038/s43246-025-01033-5⟩.

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Academic Journal

The logarithmic memristor-based Bayesian machine

Authors : Turck, Clément; Harabi, Kamel-Eddine; Pontlevy, Adrien ...

Subjects: [PHYS]Physics [physics]; [SPI]Engineering Sciences [physics]

Source: EISSN: 2731-3395 ; Communications Engineering ; https://hal.science/hal-05357635 ; Communications Engineering, 2025, 4 (1), pp.35. ⟨10.1038/s44172-025-00360-2⟩

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Conference

Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits

Authors : Garg, Nikhil; Florini, Davide; Dufour, Patrick ...

Subjects: [PHYS]Physics [physics]; [SPI]Engineering Sciences [physics]Arlington; FranceArlington, France

Source: 2024 International Conference on Neuromorphic Systems (ICONS)https://hal.science/hal-049322612024 International Conference on Neuromorphic Systems (ICONS), Jul 2024, Arlington, France.

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Academic Journal

Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

Authors : Garg, Nikhil; Balafrej, Ismael; Stewart, Terrence ...

Subjects: modified national institute of standards and technology database (MNIST); synaptic plasticity; unsupervised learning

Source: ISSN: 1662-4548.

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