Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

(2020) Chankyu Lee et al.   Frontiers in Neuroscience

Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization

(2020) Priyadarshini Panda et al.   Frontiers in Neuroscience

Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

(2020) Martino Sorbaro et al.   Frontiers in Neuroscience

Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons

(2020) Qianhui Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

(2019) Abhronil Sengupta et al.   Frontiers in Neuroscience

Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment

(2019) Qi Xu et al.   NEURAL NETWORKS

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

(2019) Emre O. Neftci et al.   IEEE SIGNAL PROCESSING MAGAZINE

Towards spike-based machine intelligence with neuromorphic computing

(2019) Kaushik Roy et al.   NATURE

Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence

(2019) Nassim Abderrahmane et al.   NEURAL NETWORKS

Rethinking the performance comparison between SNNS and ANNS

(2019) Lei Deng et al.   NEURAL NETWORKS

An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning

(2019) Rong Xiao et al.   IEEE Transactions on Neural Networks and Learning Systems

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

(2018) Mike Davies et al.   IEEE MICRO

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

(2018) Yujie Wu et al.   Frontiers in Neuroscience

A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks

(2018) Zhenshan Bing et al.   Frontiers in Neurorobotics

The impact of on-chip communication on memory technologies for neuromorphic systems

(2018) Saber Moradi et al.   JOURNAL OF PHYSICS D-APPLIED PHYSICS

On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights

(2018) Amirreza Yousefzadeh et al.   Frontiers in Neuroscience

HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition

(2017) Xavier Lagorce et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

(2017) Guillermo Gallego et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM

(2017) Elias Mueggler et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

CIFAR10-DVS: An Event-Stream Dataset for Object Classification

(2017) Hongmin Li et al.   Frontiers in Neuroscience

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

(2017) Bodo Rueckauer et al.   Frontiers in Neuroscience

Training Deep Spiking Neural Networks Using Backpropagation

(2016) Jun Haeng Lee et al.   Frontiers in Neuroscience

TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

(2015) Filipp Akopyan et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

HFirst: A Temporal Approach to Object Recognition

(2015) Garrick Orchard et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Asynchronous event-based corner detection and matching

(2015) Xavier Clady et al.   NEURAL NETWORKS

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

(2015) Peter U. Diehl et al.   Frontiers in Computational Neuroscience

On event-based optical flow detection

(2015) Tobias Brosch et al.   Frontiers in Neuroscience

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

(2015) Garrick Orchard et al.   Frontiers in Neuroscience

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

(2014) Yongqiang Cao et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output

(2014) Christoph Posch et al.   PROCEEDINGS OF THE IEEE

The SpiNNaker Project

(2014) Steve B. Furber et al.   PROCEEDINGS OF THE IEEE

Contour Motion Estimation for Asynchronous Event-Driven Cameras

(2014) Francisco Barranco et al.   PROCEEDINGS OF THE IEEE

Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing--Application to Feedforward ConvNets

(2013) J. A. Perez-Carrasco et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Event-Based Visual Flow

(2013) Ryad Benosman et al.   IEEE Transactions on Neural Networks and Learning Systems

A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS

(2010) Christoph Posch et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex

(2008) Marcelo A. Montemurro et al.   CURRENT BIOLOGY

A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor

(2008) Patrick Lichtsteiner et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS