O. Bichler

发表

Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices

D. Querlioz, O. Bichler, P. Dollfus, 2013, IEEE Transactions on Nanotechnology.

Variability-tolerant Convolutional Neural Network for Pattern Recognition applications based on OxRAM synapses

E. Vianello, L. Perniola, G. Ghibaudo, 2014, 2014 IEEE International Electron Devices Meeting.

Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

E. Vianello, O. Bichler, C. Gamrat, 2013, IEEE Transactions on Electron Devices.

Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture

D. Querlioz, O. Bichler, C. Gamrat, 2012, IEEE Transactions on Electron Devices.

HfO2-Based OxRAM Devices as Synapses for Convolutional Neural Networks

E. Vianello, L. Perniola, G. Ghibaudo, 2015, IEEE Transactions on Electron Devices.

Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting

E. Vianello, L. Perniola, B. De Salvo, 2016, Frontiers in neuroscience.

Physical aspects of low power synapses based on phase change memory devices

O. Cueto, L. Perniola, D. Querlioz, 2012 .

2.2 Efﬁcient Deep Learning Approach for Fault Detection in the Semiconductor Industry

O. Bichler, F. Pétrot, M. Coppola, 2021 .

How to make a grandmother cell using Spike-Time Dependent Plasticity (STDP)

Olivier Bichler, Simon J. Thorpe, S. Thorpe, 2013 .

learning method unsupervised in an artificial neural network based memristifs nanodevices and artificial neural network for implementing the method.

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2011 .

Memory Efficient Invertible Neural Networks for Class-Incremental Learning

Damien Querlioz, Olivier Bichler, Guillaume Hocquet, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2012, Neural Networks.

Simulation of a memristor-based spiking neural network immune to device variations

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2011, The 2011 International Joint Conference on Neural Networks.

Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2011, The 2011 International Joint Conference on Neural Networks.

Bioinspired Programming of Memory Devices for Implementing an Inference Engine

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2015, Proceedings of the IEEE.

Fully Integrated Spiking Neural Network with Analog Neurons and RRAM Synapses

E. Vianello, A. Valentian, O. Bichler, 2019, 2019 IEEE International Electron Devices Meeting (IEDM).

Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction

Olivier Bichler, Christian Gamrat, Dominique Vuillaume, 2011, 2011 International Electron Devices Meeting.

Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems

Jacques-Olivier Klein, Damien Querlioz, Nicolas Locatelli, 2015, IEEE Transactions on Biomedical Circuits and Systems.

Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches

Jacques-Olivier Klein, Weisheng Zhao, Damien Querlioz, 2012, 2012 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH).

SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes pdf

Antoine Dupret, Olivier Bichler, Johannes C. Thiele, 2019, ICLR.

Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP

Antoine Dupret, Olivier Bichler, Johannes C. Thiele, 2018, Front. Comput. Neurosci..

Plasticity in memristive devices for spiking neural networks

Fabien Alibart, Bernabé Linares-Barranco, Damien Querlioz, 2015, Front. Neurosci..

Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting

Elisa Vianello, Olivier Bichler, Luca Perniola, 2016, Front. Neurosci..

CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (Cochlea) and visual (Retina) cognitive processing applications

B. DeSalvo, D. Querlioz, E. Vianello, 2012, 2012 International Electron Devices Meeting.

Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2013, 2013 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH).

Design study of efficient digital order-based STDP neuron implementations for extracting temporal features

Jacques-Olivier Klein, Olivier Bichler, Christian Gamrat, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors

Fabien Alibart, Weisheng Zhao, Stéphane Pleutin, 2013, Neural Computation.

A Memristive Nanoparticle/Organic Hybrid Synapstor for Neuroinspired Computing pdf

Fabien Alibart, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona, 2011, ArXiv.

Functional Model of a Nanoparticle Organic Memory Transistor for Use as a Spiking Synapse

Fabien Alibart, Weisheng Zhao, Olivier Bichler, 2010, IEEE Transactions on Electron Devices.

Advanced 3D Technologies and Architectures for 3D Smart Image Sensors

Fabien Clermidy, Gilles Sicard, Sebastien Thuries, 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Spin-transfer torque magnetic memory as a stochastic memristive synapse

Jacques-Olivier Klein, Damien Querlioz, Weisheng Zhao, 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).

Development of a functional model for the Nanoparticle-Organic Memory transistor

Fabien Alibart, Weisheng Zhao, Stéphane Pleutin, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

OvA-INN: Continual Learning with Invertible Neural Networks

Damien Querlioz, Olivier Bichler, Guillaume Hocquet, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation

Giacomo Indiveri, Antoine Dupret, Olivier Bichler, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Resistive Memories for Spike-Based Neuromorphic Circuits

Alexandre Valentian, Elisa Vianello, Olivier Bichler, 2017, 2017 IEEE International Memory Workshop (IMW).

Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator

Damien Querlioz, Olivier Bichler, Christian Gamrat, 2013, 2013 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH).

Binary OxRAM/CBRAM Memories for Efficient Implementations of Embedded Neuromorphic Circuits

Elisa Vianello, Olivier Bichler, Barbara De Salvo, 2017 .

Real-time radionuclide identification in γ-emitter mixtures based on spiking neural network.

C Thiam, O. Bichler, C. Thiam, 2016, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.