Year  Title  Author 
2017

CrossLayer Design Exploration for EnergyQuality Tradeoffs in Spiking and NonSpiking Deep Artificial Neural Networks 
B Han, A Ankit, A Sengupta, K Roy

2017

A Programmable Eventdriven Architecture for Evaluating Spiking Neural Networks 
A Roy, S Venkataramani, N Gala, S Sen

2017

Relative ordering learning in spiking neural network for pattern recognition 
Z Lin, D Ma, J Meng, L Chen

2017

BioInspired Spiking Convolutional Network Using LayerWise Sparse Coding And Stdp Learning 
A Tavanaei, AS Maida

2017

Improving multilayer spiking neural networks by incorporating braininspired rules 
Y Zeng, T Zhang, B Xu

2017

Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights 
A Samadi, TP Lillicrap, DB Tweed

2017

SpatioTemporal Backpropagation for Training Highperformance Spiking Neural Networks 
Y Wu, L Deng, G Li, J Zhu, L Shi

2017

Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS WaferScale System 
S Schmitt, J Klaehn, G Bellec, A Gruebl, M Guettler

2017

Spiking convolutional deep belief networks 
J Kaiser, D Zimmerer, JCV Tieck, S Ulbrich, A Roennau

2017

RealTime Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity 
F Xue, X Chen, X Li

2017

An EventDriven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data 
E Stromatias, M Soto, T Serrano

2017

Toward a spintronic deep learning spiking neural processor 
A Sengupta, B Han, K Roy

2017

Biological modelling of a computational spiking neural network with neuronal avalanches 
X Li, Q Chen, F Xue

2016

Darwin: a neuromorphic hardware coprocessor based on Spiking Neural Networks 
J Shen, D Ma, Z Gu, M Zhang, X Zhu, X Xu, Q Xu

2016

Computing with hardware neurons: spiking or classical? Perspectives of applied Spiking Neural Networks from the hardware side 
S Dytckov, M Daneshtalab

2016

Modelling Spiking Neural Network from the Architecture Evaluation Perspective 
Y Ji, YH Zhang, WM Zheng

2016

A Spiking Network that Learns to Extract Spike Signatures from Speech Signals 
A Tavanaei, AS Maida

2016

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity 
T Mesnard, W Gerstner, J Brea

2016

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks 
D Zambrano, SM Bohte

2016

Learning to be Efficient: Algorithms for Training LowLatency, LowCompute Deep Spiking Neural Networks 
D Neil, M Pfeiffer, SC Liu

2016

Towards an Spiking Deep Belief Network for Face Recognition Application 
M Fatahi, M Ahmadi, A Ahmadi, M Shahsavari

2016

Optimized Mapping Spiking Neural Networks onto NetworkonChip 
Y Ji, Y Zhang, H Liu, W Zheng

2016

Deep Spiking Networks 
P O'Connor, M Welling

2016

STDPbased spiking deep neural networks for object recognition 
SR Kheradpisheh, M Ganjtabesh, SJ Thorpe

2016

Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition 
P Panda, K Roy

2016

Training Spiking Deep Networks for Neuromorphic Hardware 
E Hunsberger, C Eliasmith

2016

Simulation of Bayesian Learning and Inference on Distributed Stochastic Spiking Neural Networks 
K Ahmed, A Shrestha, Q Qiu

2016

System Design for Inhardware STDP Learning and Spiking Based Probablistic Inference 
K Ahmed, A Shrestha, Y Wang, Q Qiu

2016

Supervised learning based on temporal coding in spiking neural networks 
H Mostafa

2016

Neuromorphic Architectures for Spiking Deep Neural Networks 
G Indiveri, F Corradi, N Qiao

2016

Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction 
A Sengupta, M Parsa, B Han, K Roy

2016

An Efficient Approach to Boosting Performance of Deep Spiking Network Training 
S Park, S Lee, H Nam, S Yoon

2016

BioInspired Spiking Convolutional Neural Network using Layerwise Sparse Coding and STDP Learning 
A Tavanaei, AS Maida

2016

Training Deep Spiking Neural Networks using Backpropagation 
JH Lee, T Delbruck, M Pfeiffer

2015

Spiking neural network with RRAM: can we use it for realworld application? 
T Tang, L Xia, B Li, R Luo, Y Chen, Y Wang, H Yang

2015

FastClassifying, HighAccuracy Spiking Deep Networks Through Weight and Threshold Balancing 
PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer

2015

Spiking Deep Networks with LIF Neurons 
E Hunsberger, C Eliasmith

2015

Mapping Generative Models onto Networks of Digital Spiking Neurons 
BU Pedroni, S Das, JV Arthur, PA Merolla, BL Jackson

2015

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades 
G Orchard, A Jayawant, G Cohen, N Thakor

2015

Gibbs Sampling with LowPower Spiking Digital Neurons 
S Das, BU Pedroni, P Merolla, J Arthur, AS Cassidy

2015

Training, Recognition, And Generation In A Spiking Deep Belief Network (Dbn) 
VSR Annapureddy, DJ Julian, A Sarah

2015

A Scale and Translation Invariant Approach for Early Classification of SpatioTemporal Patterns Using Spiking Neural Networks 
B Rekabdar, M Nicolescu, M Nicolescu, MT Saffar

2015

Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuroinspired hardware platforms 
E Stromatias, D Neil, M Pfeiffer, F Galluppi, SB Furber

2015

Musical notes classification with Neuromorphic Auditory System using FPGA and a Convolutional Spiking Network 
E Cerezuela

2015

A New Image Denoising Scheme Using Spiking Neuromorphic Systems 
J Oh, J Gwak, A Rafiqueꜟ, M Jeon

2015

A Reconfigurable Online Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses 
N Qiao, H Mostafa, F Corradi, M Osswald, F Stefanini

2015

A currentmode spiking neural classifier with lumped dendritic nonlinearity 
A Banerjee, S Kar, S Roy, A Bhaduri, A Basu

2015

Realtime eventdriven spiking neural network object recognition on the SpiNNaker platform 
G Orchard, X Lagorce, C Posch, SB Furber

2014

Spiking Deep Convolutional Neural Networks for EnergyEfficient Object Recognition 
Y Cao, Y Chen, D Khosla

2014

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron with Adaptive Kernels 
S Afshar, L George, J Tapson, A van Schaik

2014

Improved PerceptionBased Spiking Neuron Learning Rule for RealTime User Authentication 
H Qu, X Xie, Y Liu, M Zhang, L Lu
