Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks

17 September 2020

Papers citing "Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks"

50 / 56 papers shown

Title
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation Chengting Yu Lei Liu Gaoang Wang Erping Li Aili Wang 26 1 0 15 Oct 2024
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks Roel Koopman Amirreza Yousefzadeh Mahyar Shahsavari Guangzhi Tang Manolis Sifalakis 31 2 0 09 Aug 2024
Spiking representation learning for associative memories Naresh B. Ravichandran A. Lansner Pawel Herman 36 1 0 05 Jun 2024
Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification Mateusz Pabian D. Rzepka Miroslaw Pawlak 31 1 0 03 Jun 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals Christian Holberg C. Salvi 28 1 0 22 May 2024
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models Mark Schöne Neeraj Mohan Sushma Jingyue Zhuge Christian Mayr Anand Subramoney David Kappel AI4TS BDL 43 9 0 29 Apr 2024
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks Julia Gygax Friedemann Zenke 50 3 0 23 Apr 2024
Slax: A Composable JAX Library for Rapid and Flexible Prototyping of Spiking Neural Networks Thomas M. Summe Siddharth Joshi 36 2 0 08 Apr 2024
Backpropagation through space, time, and the brain B. Ellenberger Paul Haider Jakob Jordan Kevin Max Ismael Jaras Laura Kriener Federico Benitez Mihai A. Petrovici 133 8 0 25 Mar 2024
Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks Kade Heckel Thomas Nowotny 40 3 0 29 Feb 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 27 7 0 16 Feb 2024
Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks Florian Bacho Dminique Chu 20 0 0 06 Feb 2024
Neuromorphic hardware for sustainable AI data centers Bernhard Vogginger A. Rostami Vaibhav Jain Sirine Arfa Andreas Hantsch ... Ulrike Faltings Hector A. Gonzalez Chen Liu Christian Mayr Wolfgang Maaß 26 10 0 04 Feb 2024
Spiking Music: Audio Compression with Event Based Auto-encoders Martim Lisboa Guillaume Bellec 40 2 0 02 Feb 2024
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware Eric Müller Moritz Althaus E. Arnold Philipp Spilger Christian Pehle Johannes Schemmel 21 5 0 30 Jan 2024
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning Hector A. Gonzalez Jiaxin Huang Florian Kelber Khaleelulla Khan Nazeer Tim Langer ... Bernhard Vogginger Timo C. Wunderlich Yexin Yan Mahmoud Akl Christian Mayr 24 16 0 09 Jan 2024
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks Rainer Engelken 31 5 0 28 Dec 2023
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition Emilian-Claudiu Muanescu Ruazvan-Alexandru Smuadu Andrei-Marius Avram Dumitru-Clementin Cercel Florin-Catalin Pop 25 0 0 07 Oct 2023
Efficient Video and Audio processing with Loihi 2 S. Shrestha Jonathan Timcheck Paxon Frady L. Campos-Macias Mike Davies 16 25 0 05 Oct 2023
Smooth Exact Gradient Descent Learning in Spiking Neural Networks Christian Klos Raoul-Martin Memmesheimer 43 6 0 25 Sep 2023
Gradient-based methods for spiking physical systems Julian Goltz Sebastian Billaudelle Laura Kriener Luca Blessing Christian Pehle Eric Müller Johannes Schemmel Mihai A. Petrovici AI4CE 18 2 0 29 Aug 2023
Persistent learning signals and working memory without continuous attractors Il Memming Park Ábel Ságodi Piotr Sokól 21 8 0 24 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
Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition Andrei-Marius Avram Ruazvan-Alexandru Smuadu Vasile Puaics Dumitru-Clementin Cercel Radu Ion Dan Tufics VLM 11 0 0 30 Jun 2023
Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation Andrei-Marius Avram V. Mititelu V. Pais Dumitru-Clementin Cercel Stefan Trausan-Matu 43 3 0 17 Jun 2023
High-performance deep spiking neural networks with 0.3 spikes per neuron A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 31 15 0 14 Jun 2023
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA A. Mehrabi Y. Bethi André van Schaik Andrew Wabnitz Saeed Afshar 23 3 0 31 May 2023
Toward stochastic neural computing Yang Qi Zhichao Zhu Yiming Wei Lu Cao Zhigang Wang Jie Zhang Wenlian Lu Jianfeng Feng 18 3 0 23 May 2023
Romanian Multiword Expression Detection Using Multilingual Adversarial Training and Lateral Inhibition Andrei-Marius Avram V. Mititelu Dumitru-Clementin Cercel ObjD 13 3 0 22 Apr 2023
Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training Hadjer Benmeziane Amine Ziad Ounnoughene I. Hamzaoui Younes Bouhadjar 36 4 0 23 Mar 2023
SpikeCV: Open a Continuous Computer Vision Era Yajing Zheng Jiyuan Zhang Rui Zhao Jianhao Ding Shiyan Chen Ruiqin Xiong Zhaofei Yu Tiejun Huang VLM 19 9 0 21 Mar 2023
Event-based Backpropagation for Analog Neuromorphic Hardware Christian Pehle Luca Blessing E. Arnold Eric Müller Johannes Schemmel 26 7 0 13 Feb 2023
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2 Philipp Spilger E. Arnold Luca Blessing Christian Mauch Christian Pehle Eric Müller Johannes Schemmel 19 10 0 23 Dec 2022
Exploring Tradeoffs in Spiking Neural Networks Florian Bacho Dominique F. Chu 23 1 0 15 Dec 2022
Neuromorphic Computing and Sensing in Space Dario Izzo Alexander Hadjiivanov Domink Dold Gabriele Meoni E. Blazquez 23 11 0 10 Dec 2022
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks Thomas Nowotny J. Turner James C. Knight 30 15 0 02 Dec 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 43 0 0 18 Oct 2022
Neuro-symbolic computing with spiking neural networks Dominik Dold J. Garrido Victor Caceres Chian Marcel Hildebrandt Thomas Runkler NAI 27 5 0 04 Aug 2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation Yang Li Xiang-Yu He Yiting Dong Qingqun Kong Yi Zeng 11 27 0 06 Jul 2022
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney Khaleelulla Khan Nazeer Mark Schöne Christian Mayr David Kappel 30 16 0 13 Jun 2022
EXODUS: Stable and Efficient Training of Spiking Neural Networks F. Bauer Gregor Lenz Saeid Haghighatshoar Sadique Sheik BDL 36 15 0 20 May 2022
Relational representation learning with spike trains Dominik Dold 18 4 0 18 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation Qingyan Meng Mingqing Xiao Shen Yan Yisen Wang Zhouchen Lin Zhimin Luo 24 134 0 01 May 2022
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity Christian Pehle Sebastian Billaudelle Benjamin Cramer Jakob Kaiser Korbinian Schreiber Yannik Stradmann Johannes Weis Aron Leibfried Eric Müller Johannes Schemmel 19 127 0 26 Jan 2022
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 40 79 0 14 Oct 2021
A Time Encoding approach to training Spiking Neural Networks Karen Adam AI4CE 26 4 0 13 Oct 2021
Spiking neural networks trained via proxy Saeed Reza Kheradpisheh M. Mirsadeghi T. Masquelier 22 16 0 27 Sep 2021
Training Spiking Neural Networks Using Lessons From Deep Learning Jason Eshraghian Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Bennamoun Doo Seok Jeong Wei D. Lu 40 432 0 27 Sep 2021
Learning through structure: towards deep neuromorphic knowledge graph embeddings Victor Caceres Chian Marcel Hildebrandt Thomas Runkler Dominik Dold GNN 16 7 0 21 Sep 2021
Sparse Spiking Gradient Descent Nicolas Perez Nieves Dan F. M. Goodman 24 81 0 18 May 2021