Computational processing of optical measurements of neuronal and synaptic activity in networks.

ABSTRACT: Imaging of optical reporters of neural activity across large populations of neurones is a widely used approach for investigating the function of neural circuits in slices and in vivo. Major challenges in analysing such experiments include the automatic identification of neurones and synapses, extraction of dynamic signals, and assessing the temporal and spatial relationships between active units in relation to the gross structure of the circuit. We have developed an integrated set of software tools, named SARFIA, by which these aspects of dynamic imaging experiments can be analysed semi-automatically. Key features are image-based detection of structures of interest using the Laplace operator, determining the positions of units in a layered network, clustering algorithms to classify units w

SUBMITTER: Dorostkar MM 

PROVIDER: S-EPMC2849931 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature