3 papers
cs.NE2019
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi +2
Spiking neural networks (SNNs) with a lattice architecture are introduced in this work, combining several desirable properties of SNNs and self-organized maps (SOMs). Networks are…
cs.NE2018
Unsupervised Learning with Self-Organizing Spiking Neural Networks
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi +2
We present a system comprising a hybridization of self-organized map (SOM) properties with spiking neural networks (SNNs) that retain many of the features of SOMs. Networks are tra…
cs.NE2018
BindsNET: A machine learning-oriented spiking neural networks library in Python
Hananel Hazan, Daniel J. Saunders, Hassaan Khan +3
The development of spiking neural network simulation software is a critical component enabling the modeling of neural systems and the development of biologically inspired algorithm…