Research themes

This is an experimental page to visualise the research themes of the lab. Note that some of the visualisations do not work well in Internet Explorer. Nodes in the graphs below are clickable and will take you to the list of associated publications.

Word cloud

The word cloud is generated from all of the abstracts of publications on this site using the wordcloud package for Python.

Connections

categories_spontaneous neuroinformatics Neuroinformatics brian Brian neuroinformatics--brian neuralsimulation Neural simulation neuroinformatics--neuralsimulation modelling Modelling neuroinformatics--modelling auditory Auditory neuroinformatics--auditory learning Learning neuroinformatics--learning machinelearning Machine learning neuroinformatics--machinelearning neuraldataanalysis Neural data analysis neuroinformatics--neuraldataanalysis brian--auditory neuralsimulation--brian neuralsimulation--modelling neuralsimulation--auditory neuralsimulation--learning neuralsimulation--machinelearning neuroscience Neuroscience neuroscience--neuroinformatics neuroscience--brian neuroscience--neuralsimulation neuroscience--modelling neuroscience--auditory neuroscience--learning neuroscience--machinelearning neuroscience--neuraldataanalysis metascience Metascience neuroscience--metascience software Software software--neuroinformatics software--brian software--neuralsimulation software--neuroscience software--modelling software--auditory software--learning sensory Sensory software--sensory plasticity Plasticity software--plasticity software--machinelearning software--neuraldataanalysis software--metascience ecology Ecology software--ecology spiking Spiking spiking--neuroinformatics spiking--brian spiking--neuralsimulation spiking--neuroscience spiking--software spiking--modelling spiking--auditory spiking--learning spiking--sensory spiking--plasticity soundlocalisation Sound localisation spiking--soundlocalisation spiking--machinelearning spikesorting Spike sorting spiking--spikesorting spiking--neuraldataanalysis spiking--metascience modelling--brian modelling--auditory modelling--learning modelling--machinelearning learning--auditory sensory--neuroinformatics sensory--brian sensory--neuralsimulation sensory--neuroscience sensory--modelling sensory--auditory sensory--learning sensory--plasticity sensory--machinelearning plasticity--neuroinformatics plasticity--neuroscience plasticity--modelling plasticity--auditory plasticity--learning plasticity--machinelearning plasticity--neuraldataanalysis soundlocalisation--neuroinformatics soundlocalisation--neuroscience soundlocalisation--software soundlocalisation--modelling soundlocalisation--auditory soundlocalisation--learning soundlocalisation--sensory soundlocalisation--plasticity soundlocalisation--machinelearning machinelearning--auditory machinelearning--learning machinelearning--ecology spikesorting--neuroinformatics spikesorting--neuroscience spikesorting--software spikesorting--machinelearning spikesorting--neuraldataanalysis neuraldataanalysis--learning neuraldataanalysis--machinelearning visualisation Visualisation visualisation--neuroinformatics visualisation--neuroscience visualisation--software visualisation--spiking visualisation--learning visualisation--plasticity visualisation--machinelearning visualisation--neuraldataanalysis visualisation--ecology virtualreality Virtual reality virtualreality--neuroscience virtualreality--software virtualreality--auditory virtualreality--learning virtualreality--sensory virtualreality--soundlocalisation visual Visual visual--neuroscience visual--spiking visual--modelling visual--auditory visual--learning visual--sensory visual--machinelearning metascience--machinelearning mathematics Mathematics

The image above is a clickable SVG file generated by GraphViz using the neato layout algorithm. For each pair of categories, we count the number of papers that are in both categories. This is then turned into a distance target for the layout algorithm, so that it tries to place categories with the lowest number of papers about twice as far away from each other as category pairs with the highest number of shared categories. Nodes (categories) are coloured according to the number of papers in that category, and edges according to the number of papers in both categories.

Hierarchy

categories_hierarchy mathematics Mathematics brian Brian neuroinformatics Neuroinformatics neuralsimulation Neural simulation neuroinformatics->neuralsimulation spikesorting Spike sorting neuroinformatics->spikesorting neuraldataanalysis Neural data analysis neuroinformatics->neuraldataanalysis neuroscience Neuroscience neuroscience->neuroinformatics spiking Spiking neuroscience->spiking modelling Modelling neuroscience->modelling plasticity Plasticity neuroscience->plasticity soundlocalisation Sound localisation neuroscience->soundlocalisation learning Learning neuroscience->learning software Software software->neuroinformatics neuralsimulation->brian spiking->brian spiking->neuralsimulation spiking->spikesorting sensory Sensory auditory Auditory sensory->auditory virtualreality Virtual reality sensory->virtualreality visual Visual sensory->visual auditory->soundlocalisation machinelearning Machine learning neuraldataanalysis->spikesorting visualisation Visualisation metascience Metascience ecology Ecology

The clickable SVG is generated in the same way as the one above but using the hierarchical dot layout algorithm, and this time using a hand-defined graph of relationships between categories. Arrows indicate that the target category is a subset of the source category.