Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

(2016) Emre O. Neftci et al.   Frontiers in Neuroscience

A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding

(2015) Minhao Yang et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Accuracy and Efficiency in Fixed-Point Neural ODE Solvers

(2015) Michael Hopkins et al.   NEURAL COMPUTATION

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

Benchmarking neuromorphic vision: lessons learnt from computer vision

(2015) Cheston Tan et al.   Frontiers in Neuroscience

Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms

(2015) Evangelos Stromatias et al.   Frontiers in Neuroscience

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

(2015) Garrick Orchard et al.   Frontiers in Neuroscience

Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

(2014) Daniel Neil et al.   IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) 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

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

(2014) Ben Varkey Benjamin et al.   PROCEEDINGS OF THE IEEE

The SpiNNaker Project

(2014) Steve B. Furber 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

A compound memristive synapse model for statistical learning through STDP in spiking neural networks

(2014) Johannes Bill et al.   Frontiers in Neuroscience

Event-driven contrastive divergence for spiking neuromorphic systems

(2014) Emre Neftci et al.   Frontiers in Neuroscience

A 128$\,\times$128 1.5% Contrast Sensitivity 0.9% FPN 3 µs Latency 4 mW Asynchronous Frame-Free Dynamic Vision Sensor Using Transimpedance Preamplifiers

(2013) Teresa Serrano-Gotarredona et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule

(2013) Michael Beyeler et al.   NEURAL NETWORKS

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

(2013) Bernhard Nessler et al.   PLoS Computational Biology

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

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

Power-efficient simulation of detailed cortical microcircuits on SpiNNaker

(2012) Thomas Sharp et al.   JOURNAL OF NEUROSCIENCE METHODS

Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity

(2012) Olivier Bichler et al.   NEURAL NETWORKS

How Does the Brain Solve Visual Object Recognition?

(2012) James J. DiCarlo et al.   NEURON

A Large-Scale Model of the Functioning Brain

(2012) C. Eliasmith et al.   SCIENCE

A Spiking Neural Network Based Cortex-Like Mechanism and Application to Facial Expression Recognition

(2012) Si-Yao Fu et al.   Computational Intelligence and Neuroscience

The NumPy Array: A Structure for Efficient Numerical Computation

(2011) Stéfan van der Walt et al.   COMPUTING IN SCIENCE & ENGINEERING

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

Statistical properties of superimposed stationary spike trains

(2011) Moritz Deger et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

PyNN: a common interface for neuronal network simulators

(2009) Andrew P Davison   Frontiers in Neuroinformatics

Brian: a simulator for spiking neural networks in Python

(2008) Dan Goodman   Frontiers in Neuroinformatics