Publication Support Materials

At the International Centre for Neuromorphic Systems (ICNS), we support Reproducible Research (opens in a new window) for our publications. Here we make support material available for our publications. Currently, we have this available for the following papers.

J. Tapson and A. van Schaik, "Learning the pseudoinverse solution to network weights," Neural networks, vol. 45, pp. 94–100, September 2013.
L. Kuhlmann, M. Hauser-Raspe, J. H. Manton, D. B. Grayden, J. Tapson, and A. van Schaik, "Approximate, computationally efficient online learning in bayesian spiking neurons," Neural computation, vol. 26, no. 3, pp. 472–96, March 2014.
S. Afshar, L. George, J. Tapson, A. van Schaik, and T. J. Hamilton, "Racing to learn: statistical inference and learning in a single spiking neuron with adaptive kernels," Frontiers in Neuroscience, vol. 8, pp. 1–18, November 2014.
A. van Schaik and J.Tapson, "Online and adaptive pseudoinverse solutions for ELM weights,"  Neurocomputing, vol. 149, pp. 233-238, June 2015
Patrick Kasi, James Wright, Heba Khamis, Ingvars Birznieks, André van Schaik, "The Bayesian Decoding of Force Stimuli from Slowly Adapting Type I Fibers in Humans", PLOS One, 2016.
an extension of MNIST to handwritten letters; Gregory Cohen, Saeed Afshar, Jonathan Tapson, and André van Schaik; arXiv ID:1702.05373, 2017
The ATIS Planes dataset is an event-based of free hand dropped airplane models; Saeed Afshar, Tara Julia Hamilton Jonathan Tapson, André van Schaik, and Gregory Cohen; arXiv ID:1603.04223, 2018
The EBSSA dataset is a collection of event-based recordings of resident space objects, planets and stars. Further information on the dataset contents can be found in the paper available at arXiv preprint arXiv:1911.08730.