Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project

In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is difficult and expensive to produce, it is rarely shared and collaboratively exploited. The Code Analysis, Repository and Modelling for e-Neuroscience (CARMEN) project addresses this challenge through the provision of a virtual neuroscience laboratory: an infrastructure for sharing data, tools and services. Central to the CARMEN concept are federated CARMEN nodes, which provide: data and metadata storage, new, third-party and legacy services, and tools. In this paper, we describe the CARMEN project as well as the node infrastructure and an associated thick client tool for pattern visualisation and searching, the Signal Data Explorer (SDE). We also discuss new spike detection methods, which are central to the services provided by CARMEN. The SDE is a client application which can be used to explore data in the CARME...

• Type: Journal
• Year: 2008
• Where: NN
• Authors: Martyn Fletcher, Bojian Liang, Leslie Smith, Alastair Knowles, Tom Jackson, Mark Jessop, Jim Austin
• Keywords: CARMEN, CARMEN Nodes, Neural Networks, NN 2008, Spike Detection