Nikhil Garg

11
Documents

Publications

Publications

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All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfO<sub>x</sub> ReRAM Devices

Donato Francesco Falcone , Victoria Clerico , Wooseok Choi , Tommaso Stecconi , Folkert Horst et al.
Advanced Functional Materials, 2025, pp.2504688. ⟨10.1002/adfm.202504688⟩
Article dans une revue hal-05148002 v1

Phase Change Memory Drift Compensation in Spiking Neural Networks Using a Non-Linear Current Scaling Strategy

Joao Henrique Quintino Palhares , Nikhil Garg , Yann Beilliard , Lorena Anghel , Fabien Alibart et al.
Journal of Low Power Electronics and Applications, 2024, 14 (4), pp.50. ⟨10.3390/jlpea14040050⟩
Article dans une revue hal-04757786 v1

28 nm FDSOI embedded PCM exhibiting near zero drift at 12 K for cryogenic SNNs

Joao Henrique Quintino Palhares , Nikhil Garg , Pierre-Antoine Mouny , Yann Beilliard , J. Sandrini et al.
npj Unconventional Computing, 2024, 1 (1), pp.8. ⟨10.1038/s44335-024-00008-y⟩
Article dans une revue hal-04757815 v1
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Neuromorphic Signal Classification using Organic Electrochemical Transistor Array and Spiking Neural Simulations

Mahdi Ghazal , Ankush Kumar , Nikhil Garg , Sébastien Pecqueur , Fabien Alibart
IEEE Sensors Journal, 2024, 24 (6), pp.9104 - 9114. ⟨10.1109/JSEN.2024.3353307⟩
Article dans une revue hal-04434358 v1
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Structural plasticity for neuromorphic networks with electropolymerized dendritic PEDOT connections

Kamila Janzakova , Ismael Balafrej , Ankush Kumar , Nikhil Garg , Corentin Scholaert et al.
Nature Communications, 2023, 14 (1), pp.040202. ⟨10.1038/s41467-023-43887-8⟩
Article dans une revue hal-04348649 v1
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Unsupervised and efficient learning in sparsely activated convolutional spiking neural networks enabled by voltage-dependent synaptic plasticity

Gaspard Goupy , Alexandre Juneau-Fecteau , Nikhil Garg , Ismael Balafrej , F. Alibart et al.
Neuromorphic Computing and Engineering, 2023, 3 (1), pp.014001. ⟨10.1088/2634-4386/acad98⟩
Article dans une revue hal-03968284 v1
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Decoding the neural signatures of valence and arousal from portable EEG headset

Nikhil Garg , Rohit Garg , Apoorv Anand , Veeky Baths
Frontiers in Human Neuroscience, 2022, 16, pp.1051463. ⟨10.3389/fnhum.2022.1051463⟩
Article dans une revue hal-03930971 v1
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Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential

Nikhil Garg , Ismael Balafrej , Terrence Stewart , Jean-Michel Portal , Marc Bocquet et al.
Frontiers in Neuroscience, 2022, 16, 983950, 12 p. ⟨10.3389/fnins.2022.983950⟩
Article dans une revue hal-03834905 v1
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Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits

Nikhil Garg , Davide Florini , Patrick Dufour , Eloir Muhr , Mathieu Faye et al.
2024 International Conference on Neuromorphic Systems (ICONS), Jul 2024, Arlington, France. pp.185-192, ⟨10.1109/ICONS62911.2024.00034⟩
Communication dans un congrès hal-04932261 v1
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Alzheimer’s Dementia Detection Using Acoustic &amp; Linguistic Features and Pre-trained BERT

Akshay Valsaraj , Ithihas Madala , Nikhil Garg , Veeky Baths
2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), Nov 2021, Cario, Egypt. pp.171-175, ⟨10.1109/ISCMI53840.2021.9654804⟩
Communication dans un congrès hal-03666188 v1
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Neuromorphic in-memory learning with analog integrated circuits and nanoscale memristive devices

Nikhil Garg
Physics [physics]. Université de Lille; Université de Sherbrooke (Québec, Canada), 2024. English. ⟨NNT : 2024ULILN043⟩
Thèse tel-04821563 v2