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