title: Visualisation of synchronous firing in multi-dimensional spike trains.
abstract: The gravity transform algorithm is used to study the dependencies in firing of multi-dimensional spike trains. The pros and cons of this algorithm are discussed and the necessity for improved representation of output data is demonstrated. Parallel coordinates are introduced to visualise the results of the gravity transform and principal component analysis (PCA) is used to reduce the quantity of data represented whilst minimising loss of information.
authors.affiliation: Centre for Neural and Adaptive Systems, School of Computing, University of Plymouth, Plymouth, Devon PL4 8AA, UK. l.stuart@plymouth.ac.uk
authors.forename: L
authors.initials: L
authors.lastname: Stuart
authors.forename: M
authors.initials: M
authors.lastname: Walter
authors.forename: R
authors.initials: R
authors.lastname: Borisyuk
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D009474:Neurons / Q000502:physiology*