Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

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

(2017) Bodo Rueckauer et al.   Frontiers in Neuroscience

Convolutional networks for fast, energy-efficient neuromorphic computing

(2016) Steven K. Esser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

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

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

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

(2015) Bo Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

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

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

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

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