In this paper, a fully functional prototype of an asynchronous 4-to-4 Address Event Representation (AER) mapper is presented. AER is an event driven communication protocol originally used in VLSI implementations of neural networks to transfer action potentials between neurons. Often, this protocol is used for direct inter-chip communication between neuromorphic chips containing assemblies of ne...

The paper presents an approach for orchestrating validation of project results from different perspectives by using visual modelling techniques. The context for the paper is the FP6 project MAPPER. Validation in MAPPER covers economic, socio-technical and technical viewpoints. The economic viewpoint mainly focuses on business value and coherence with business drivers like reduced lifecycle time...

In this article, we study the question of the statistical convergence of the 1-dimensional Mapper to its continuous analogue, the Reeb graph. We show that the Mapper is an optimal estimator of the Reeb graph, which gives, as a byproduct, a method to automatically tune its parameters and compute confidence regions on its topological features, such as its loops and flares. This allows to circumve...

The Sonic Mapper is an interactive Linux-based graphical program that affords increased methodological flexibility and sophistication to researchers who collect proximity data for auditory research. The Sonic Mapper consists of a mapping environment in which participants can position and group icons in the two-dimensional plane of the screen. Options for collecting data concerning hierarchical ...

We describe Fibres of Failure (FIFA), a method to classify failure modes of predictive processes using the MAPPER algorithm from Topological Data Analysis. Our method uses MAPPER to build a graph model of input data stratified by prediction error. Groupings found in high-error regions of the MAPPER model then provide distinct failure modes of the predictive process. We demonstrate FIFA on miscl...

In the context of the MAPPER project, the paper presents an approach for model based methodology engineering with the mission of supporting the creation and utilisation of a holistic requirement and assessment model enabling a dynamic representation of all methodology requirement and solution related artefacts and structures. The experiences from the application of the approach are presented an...

To demonstrate that our proposed mapper architecture works we test it in isolation on the task of free space prediction. We consider the scenario of an agent rotating about its current position, and the task is to predict free space in a 3.20 meter neighborhood of the agent. We only provide supervision for this experiment at end of the agents rotation. Figure A1 illustrates what the mapper lear...

MOTIVATION Retrieval of information on biological processes from large-scale expression data is still a time-consuming task. An automated analysis utilizing all expression information would greatly increase our understanding of the samples under study. RESULTS We describe here a novel method to obtain a functional analysis of complex gene expression data. Instead of applying a predefined expr...