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