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Toward reconstructing spike trains from large-scale calcium imaging data.
MedLine Citation:
PMID:  20676302     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Neural activity can be captured by state-of-the-art optical imaging methods although the analysis of the resulting data sets is often manual and not standardized. Therefore, laboratories using large-scale calcium imaging eagerly await software toolboxes that can automate the process of identifying cells and inferring spikes. An algorithm proposed and implemented in a recent paper by Mukamel et al. [Neuron 63, 747-760 (2009)] used independent component analysis and offers significant improvements over conventional methods. The approach should be widely applicable, as tested with data obtained from the mouse cerebellum, neocortex, and spinal cord. The emergence of analysis tools in parallel with the rapid advances in optical imaging is an exciting development that will stimulate new discoveries and further elucidate the functions of neural circuits.
Authors:
Alex C Kwan
Publication Detail:
Type:  Journal Article     Date:  2010-01-22
Journal Detail:
Title:  HFSP journal     Volume:  4     ISSN:  1955-205X     ISO Abbreviation:  HFSP J     Publication Date:  2010 Feb 
Date Detail:
Created Date:  2010-08-02     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101299182     Medline TA:  HFSP J     Country:  France    
Other Details:
Languages:  eng     Pagination:  1-5     Citation Subset:  -    
Affiliation:
Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley, California 94120, USA.
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