title: Spatially Structured Sparse Morphological Component Separation for voltage-sensitive dye optical imaging.
abstract: BACKGROUND
  Voltage-sensitive dye optical imaging is a promising technique for studying in vivo neural assemblies dynamics where functional clustering can be visualized in the imaging plane. Its practical potential is however limited by many artifacts.
  
  
  METHODS
  We present a novel method, that we call "SMCS" (Spatially Structured Sparse Morphological Component Separation), to separate the relevant biological signal from noise and artifacts. It extends Generalized Linear Models (GLM) by using a set of convex non-smooth regularization priors adapted to the morphology of the sources and artifacts to capture.
  
  
  RESULTS
  We make use of first order proximal splitting algorithms to solve the corresponding large scale optimization problem. We also propose an automatic parameters selection procedure based on statistical risk estimation methods.
  
  
  METHODS
  We compare this method with blank subtraction and GLM methods on both synthetic and real data. It shows encouraging perspectives for the observation of complex cortical dynamics.
  
  
  CONCLUSIONS
  This work shows how recent advances in source separation can be integrated into a biophysical model of VSDOI. Going beyond GLM methods is important to capture transient cortical events such as propagating waves.
authors.affiliation: CNRS and Ceremade, Université Paris-Dauphine, Place du Maréchal De Lattre De Tassigny, 75775 Paris Cedex 16, France. Electronic address: hugo.raguet@gmail.com.
authors.forename: Hugo
authors.initials: H
authors.lastname: Raguet
authors.affiliation: Unit of Neuroscience, Information and Complexity, CNRS UPR-3293, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France. Electronic address: cyril.monier@unic.cnrs-gif.fr.
authors.forename: Cyril
authors.initials: C
authors.lastname: Monier
authors.affiliation: Unit of Neuroscience, Information and Complexity, CNRS UPR-3293, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France. Electronic address: luc.foubert@unic.cnrs-gif.fr.
authors.forename: Luc
authors.initials: L
authors.lastname: Foubert
authors.affiliation: Unit of Neuroscience, Information and Complexity, CNRS UPR-3293, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France. Electronic address: isabelle.ferezou@unic.cnrs-gif.fr.
authors.forename: Isabelle
authors.initials: I
authors.lastname: Ferezou
authors.affiliation: Unit of Neuroscience, Information and Complexity, CNRS UPR-3293, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France. Electronic address: yves.fregnac@unic.cnrs-gif.fr.
authors.forename: Yves
authors.initials: Y
authors.lastname: Fregnac
authors.affiliation: CNRS and Ceremade, Université Paris-Dauphine, Place du Maréchal De Lattre De Tassigny, 75775 Paris Cedex 16, France. Electronic address: gabriel.peyre@ceremade.dauphine.fr.
authors.forename: Gabriel
authors.initials: G
authors.lastname: Peyré
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D002415:Cats; D005071:Evoked Potentials; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016014:Linear Models; D051379:Mice; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D010363:Pattern Recognition, Automated / Q000379:methods*; D013003:Somatosensory Cortex / Q000502:physiology; D055698:Touch Perception / Q000502:physiology; D014738:Vibrissae / Q000502:physiology; D014793:Visual Cortex / Q000502:physiology; D014796:Visual Perception / Q000502:physiology; D056969:Voltage-Sensitive Dye Imaging / Q000379:methods*
keywords: Orientation maps; Sensory cortical dynamics; Sparse component separation; Voltage-sensitive dye optical imaging