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

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.