ArticleHFSP journal2010
Toward reconstructing spike trains from large-scale calcium imaging data.
Article in HFSP journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Spatiotemporal dynamics of rhythmic spinal interneurons measured with two-photon calcium imaging and coherence analysis.Journal of neurophysiology · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Identifiers
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Registered trials
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