Training Deep Spiking Neural Networks Using Backpropagation

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

Skimming Digits: Neuromorphic Classification of Spike-Encoded Images

(2016) Gregory K. Cohen et al.   Frontiers in Neuroscience

Deep learning

(2015) Yann LeCun et al.   NATURE

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

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

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

(2015) Garrick Orchard et al.   Frontiers in Neuroscience

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

(2014) P. A. Merolla et al.   SCIENCE

Event-driven contrastive divergence for spiking neuromorphic systems

(2014) Emre Neftci et al.   Frontiers in Neuroscience

Real-time classification and sensor fusion with a spiking deep belief network

(2013) Peter O'Connor et al.   Frontiers in Neuroscience

Overview of the SpiNNaker System Architecture

(2012) Steve B. Furber et al.   IEEE TRANSACTIONS ON COMPUTERS

An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors

(2011) Luis Camunas-Mesa et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Computation with Spikes in a Winner-Take-All Network

(2009) Matthias Oster et al.   NEURAL COMPUTATION

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

Sparse Coding via Thresholding and Local Competition in Neural Circuits

(2008) Christopher J. Rozell et al.   NEURAL COMPUTATION