A Survey of Neuromorphic Computing and Neural Networks in Hardware

19 May 2017

Papers citing "A Survey of Neuromorphic Computing and Neural Networks in Hardware"

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Title
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR Seyedeh Niusha Alavi Foumani Ce Guo Wayne Luk 22 3 0 06 Sep 2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 27 23 0 03 Sep 2020
Training Deep Neural Networks with Constrained Learning Parameters Prasanna Date C. Carothers J. Mitchell James A. Hendler M. Magdon-Ismail 23 1 0 01 Sep 2020
Survey of Machine Learning Accelerators Albert Reuther Peter Michaleas Michael Jones V. Gadepally S. Samsi J. Kepner 11 135 0 01 Sep 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 28 19 0 25 Aug 2020
Neuromorphic Computing for Content-based Image Retrieval Te-Yuan Liu A. Mahjoubfar Daniel Prusinski Luis Stevens VLM 24 11 0 04 Aug 2020
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities Mauro J. Sanchirico Xun Jiao Chandrasekhar Nataraj 33 3 0 13 Jul 2020
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking Philippe Reiter G. R. Jose Spyridon Bizmpikis Ionela-Ancuta Cîrjila 19 1 0 10 Jul 2020
Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics S. Ganguly Avik W. Ghosh 4 1 0 06 Jul 2020
A Compact Gated-Synapse Model for Neuromorphic Circuits Alexander Jones Rashmi Jha GNN 11 0 0 29 Jun 2020
Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication Ojas D. Parekh C. Phillips C. James J. Aimone 9 20 0 25 Jun 2020
Surrogate gradients for analog neuromorphic computing Benjamin Cramer Sebastian Billaudelle Simeon Kanya Aron Leibfried Andreas Grubl ... Korbinian Schreiber Yannik Stradmann Johannes Weis Johannes Schemmel Friedemann Zenke 24 106 0 12 Jun 2020
Solving a steady-state PDE using spiking networks and neuromorphic hardware J. D. Smith William M. Severa A. Hill Leah Reeder B. Franke R. Lehoucq Ojas D. Parekh J. Aimone 19 23 0 21 May 2020
A Non-equilibrium Thermodynamic Framework of Consciousness N. Ganesh 11 0 0 04 May 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning Lyes Khacef Laurent Rodriguez Benoit Miramond 14 16 0 11 Apr 2020
A Neural Architecture Search based Framework for Liquid State Machine Design Shuo Tian Lianhua Qu Kai Hu Nan Li Lei Wang Weixia Xu 33 28 0 07 Apr 2020
The Operating System of the Neuromorphic BrainScaleS-1 System Eric Müller Sebastian Schmitt Christian Mauch Sebastian Billaudelle Andreas Grübl ... H. Schmidt Bernhard Vogginger Jonas Weidner Christian Mayr Johannes Schemmel 35 24 0 30 Mar 2020
Critical Limits in a Bump Attractor Network of Spiking Neurons A. Vergani Christian Huyck 18 1 0 30 Mar 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction Alireza Samadzadeh Fatemeh Sadat Tabatabaei Far Ali Javadi A. Nickabadi M. Chehreghani 38 49 0 27 Mar 2020
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems Sourjya Roy S. Sridharan Shubham Jain A. Raghunathan 19 44 0 25 Feb 2020
Improving STDP-based Visual Feature Learning with Whitening Pierre Falez Pierre Tirilly Ioan Marius Bilasco 11 7 0 24 Feb 2020
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor Mattias Nilsson F. Liwicki Fredrik Sandin 18 3 0 12 Feb 2020
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks Mihaela Dimovska T. Johnston Catherine D. Schuman J. P. Mitchell T. Potok 10 13 0 04 Feb 2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design Yusuke Sakemi K. Morino Takashi Morie Kazuyuki Aihara 8 32 0 08 Jan 2020
Technical report: supervised training of convolutional spiking neural networks with PyTorch Romain Zimmer Thomas Pellegrini S. Singh T. Masquelier 20 32 0 22 Nov 2019
MERIT: Tensor Transform for Memory-Efficient Vision Processing on Parallel Architectures Yu-Sheng Lin Wei-Chao Chen Shao-Yi Chien 27 4 0 07 Nov 2019
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence Nassim Abderrahmane E. Lemaire Benoit Miramond 24 43 0 01 Oct 2019
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network Timo C. Wunderlich Á. F. Kungl Eric Müller Johannes Schemmel Mihai A. Petrovici 17 2 0 24 Sep 2019
Neuromorphic Electronic Systems for Reservoir Computing F. Hadaeghi 20 3 0 26 Aug 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan 29 14 0 02 Jul 2019
Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors Fredrik Sandin Mattias Nilsson 21 10 0 28 Jun 2019
A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing Cory E. Merkel A. Nikam 14 1 0 13 Jun 2019
Stochasticity and Robustness in Spiking Neural Networks W. Olin-Ammentorp K. Beckmann Catherine D. Schuman J. Plank N. Cady 25 12 0 06 Jun 2019
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning A. Roibu 27 1 0 10 May 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 17 1 0 03 Apr 2019
Spike-based primitives for graph algorithms Kathleen E. Hamilton T. Mintz Catherine D. Schuman GNN 34 20 0 25 Mar 2019
Neuromorphic Hardware learns to learn Thomas Bohnstingl Franz Scherr Christian Pehle K. Meier Wolfgang Maass 8 47 0 15 Mar 2019
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching Cengiz Pehlevan 21 18 0 04 Feb 2019
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm Lisa Tse P. Mountney Paul Klein Simone Severini GNN 14 9 0 07 Dec 2018
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future J. Krichmar William M. Severa Salar M. Khan J. Olds AI4CE 19 21 0 04 Dec 2018
On-chip learning for domain wall synapse based Fully Connected Neural Network Apoorv Dankar A. Verma Utkarsh Saxena Divya Kaushik S. Chatterjee D. Bhowmik 20 48 0 25 Nov 2018
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication William M. Severa C. Vineyard Ryan Dellana Stephen J Verzi J. Aimone 18 95 0 26 Oct 2018
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients Bleema Rosenfeld Osvaldo Simeone Bipin Rajendran 6 17 0 23 Oct 2018
Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing Hyeryung Jang Osvaldo Simeone 20 8 0 21 Oct 2018
The largest cognitive systems will be optoelectronic J. Shainline GNN 14 7 0 07 Sep 2018
RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars Shubham Jain Abhronil Sengupta Kaushik Roy A. Raghunathan 19 87 0 31 Aug 2018
A Survey of the Usages of Deep Learning in Natural Language Processing Dan Otter Julian R. Medina Jugal Kalita VLM 27 11 0 27 Jul 2018
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images Malik Aqeel Anwar A. Raychowdhury 21 22 0 22 Jul 2018
Neuro-memristive Circuits for Edge Computing: A review O. Krestinskaya A. P. James L. Chua 31 201 0 01 Jul 2018