Neuromorphic Deep Learning Machines

16 December 2016

Papers citing "Neuromorphic Deep Learning Machines"

31 / 31 papers shown

Title
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 39 2 0 17 Sep 2024
Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks Gaspard Goupy Pierre Tirilly Ioan Marius Bilasco 34 3 0 04 Aug 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding Yusuke Sakemi Kakei Yamamoto T. Hosomi Kazuyuki Aihara 40 7 0 24 Jul 2023
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity Daniel Gerlinghoff Tao Luo Rick Siow Mong Goh Weng-Fai Wong 14 2 0 10 Nov 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent Kenneth Stewart Emre Neftci 29 25 0 26 Jan 2022
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks Werner van der Veen 37 1 0 05 Jan 2022
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects Bing Wei Yudi Zhao K. Hao Lei Gao 38 5 0 08 Sep 2021
Spike time displacement based error backpropagation in convolutional spiking neural networks M. Mirsadeghi Majid Shalchian Saeed Reza Kheradpisheh T. Masquelier 12 14 0 31 Aug 2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck N. Skatchkovsky Osvaldo Simeone Hyeryung Jang 33 20 0 02 Jun 2021
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor Amar Shrestha Haowen Fang D. Rider Zaidao Mei Qinru Qiu 38 25 0 08 May 2021
Reservoir Transformers Sheng Shen Alexei Baevski Ari S. Morcos Kurt Keutzer Michael Auli Douwe Kiela 35 17 0 30 Dec 2020
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks Melika Payvand M. Fouda Fadi J. Kurdahi A. Eltawil Emre Neftci 27 29 0 21 Nov 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 22 117 0 17 Sep 2020
Long Short-Term Memory Spiking Networks and Their Applications Ali Lotfi-Rezaabad S. Vishwanath 14 62 0 09 Jul 2020
Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding Seongbin Oh D. Kwon Gyuho Yeom Won-Mook Kang Soochang Lee S. Woo Jaehyeon Kim Min Kyu Park Jong-Ho Lee 48 15 0 09 Jun 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits Hyeryung Jang N. Skatchkovsky Osvaldo Simeone 30 11 0 20 Apr 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow Ruthvik Vaila John N. Chiasson V. Saxena 19 22 0 26 Feb 2020
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks Thomas Mesnard Gaetan Vignoud João Sacramento Walter Senn Yoshua Bengio 19 7 0 15 Nov 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation Iulia Comsa Krzysztof Potempa Luca Versari T. Fischbacher Andrea Gesmundo J. Alakuijala 23 174 0 30 Jul 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 15 32 0 03 Jun 2019
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning A. Roibu 19 1 0 10 May 2019
MorphIC: A 65-nm 738k-Synapse/mm $^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning Charlotte Frenkel J. Legat D. Bol 25 113 0 17 Apr 2019
Direct Feedback Alignment with Sparse Connections for Local Learning Brian Crafton A. Parihar Evan Gebhardt A. Raychowdhury 6 56 0 30 Jan 2019
EventNet: Asynchronous Recursive Event Processing Yusuke Sekikawa K. Hara Hideo Saito 56 98 0 07 Dec 2018
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning Adam A. Kohan E. Rietman H. Siegelmann 48 24 0 09 Aug 2018
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks Milad Mozafari M. Ganjtabesh A. Nowzari-Dalini S. Thorpe T. Masquelier 22 155 0 31 Mar 2018
Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip V. Saxena Xinyu Wu Kehan Zhu GNN 15 19 0 07 Feb 2018
Learning in the Machine: the Symmetries of the Deep Learning Channel Pierre Baldi Peter Sadowski Zhiqin Lu 17 30 0 22 Dec 2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning Georgios Detorakis Sadique Sheik C. Augustine Somnath Paul Bruno U. Pedroni N. Dutt J. Krichmar Gert Cauwenberghs Emre Neftci 33 29 0 29 Sep 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012