Abstract
We are interested in explaining neuronal network development through visualizations that summarize trends in large data. We utilized previously-recorded spiking patterns of embryonic rat cortex cells grown on multielectrode arrays [1]. We present results for batch 1 culture 3. Recordings were divided into 100 17.7 s intervals (the time required to sequentially stimulate each electrode at 0.3 s intervals). In our representation, each trail depicts an interval. The first 50 intervals recorded spontaneous activity (1-25 in red, 26-50 in pink); the last 50 intervals, activity in response to electrical stimulation (51-75 in green, 76-100 in blue). Each trail begins at the origin,
Highlights
We are interested in explaining neuronal network development through visualizations that summarize trends in large data
* Correspondence: Charles.Bergeron@acphs.edu 1Analytics Lab, Albany College of Pharmacy and Health Sciences, Albany, NY, 12208, USA Full list of author information is available at the end of the article and moves by 1 unit in a direction determined by the electrode detecting it
Research which is freely available for redistribution
Summary
We are interested in explaining neuronal network development through visualizations that summarize trends in large data. Visualizing spike activity during neuronal network development Nicholas Vachon1, Thomas R Kiehl2, Charles Bergeron1* From The Twenty Third Annual Computational Neuroscience Meeting: CNS*2014 Québec City, Canada.
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