Browsing Department of Materials Science and Metallurgy by Subject "computational neuroscience"
Now showing items 1-2 of 2
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Bivariate spatial point patterns in the retina: a reproducible review
(Societe Française de StatistiqueJournal de la Société Française de Statistique, 2016-04-08)In this article I present a reproducible review of recent research to investigate the spatial positioning of neurons in the nervous system. In particular, I focus on the relative spatial positioning of pairs of cell types ...
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Statistical analysis of neuronal data: Development of quantitative frameworks and application to microelectrode array analysis and cell type classification
(University of CambridgeDAMTPTrinity, 2017-10-01)With increasing amounts of data being collected in various fields of neuroscience, there is a growing need for robust techniques for the analysis of this information. This thesis focuses on the evaluation and development ...