Spatial quantification of the synaptic activity phenotype across large populations of neurons with Markov random fields | Zendy

Sean M. Robinson | Zendy; Michael J. Courtney | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Spatial quantification of the synaptic activity phenotype across large populations of neurons with Markov random fields

Author(s) -

Sean M. Robinson,

Michael J. Courtney

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty322

Subject(s) - markov chain , phenotype , markov random field , computer science , neuroscience , artificial intelligence , pattern recognition (psychology) , biology , machine learning , genetics , segmentation , image segmentation , gene

The collective and co-ordinated synaptic activity of large neuronal populations is relevant to neuronal development as well as a range of neurological diseases. Quantification of synaptically-mediated neuronal signalling permits further downstream analysis as well as potential application in target validation and in vitro screening assays. Our aim is to develop a phenotypic quantification for neuronal activity imaging data of large populations of neurons, in particular relating to the spatial component of the activity.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research