3 papers
cs.CV2019
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP
Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco +2
Spiking neural networks (SNNs) are good candidates to produce ultra-energy-efficient hardware. However, the performance of these models is currently behind traditional methods. Int…
cs.CV2019
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?
Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco +2
Spiking neural networks (SNNs) equipped with latency coding and spike-timing dependent plasticity rules offer an alternative to solve the data and energy bottlenecks of standard co…
cs.NE2016
evt_MNIST: A spike based version of traditional MNIST
Mazdak Fatahi, Mahmood Ahmadi, Mahyar Shahsavari +2
Benchmarks and datasets have important role in evaluation of machine learning algorithms and neural network implementations. Traditional dataset for images such as MNIST is applied…