1. Electrophysiology

  • inVivo extracellular, single & multi-electrode recordings
  • inVivo intracellular (sharp electrodes / patch electrodes)
  • recordings of electric field (current density vector components)
  • inVivo pressure ejections of pharmacological agents

in, e.g.: Hofmann et al. 2013; Metzen et al. 2015; Hofmann & Chacron 2017

CorrelationStructureFigure: Example of an inVivo intracellular recording in the ELL of Apteronotus leptorhynchus. Two pyramidal neurons were recorded simultaneously to analyse spiking and membrane potential correlations.

2. Behavior

  • high-speed video based observation of spontaneous/trained behavior
  • automated tracking (position, body posture, kinematics) of animals
  • quantitative characterization & quantization of behavioral components based on tracking data (i.e. identification of prototypical movements and/or behavioral motifs)

in, e.g.: Pedraja et al. 2018; Hofmann et al. 2014; Hofmann et al 2017

3. Computational modelling & signal analysis

  • biophysical modeling of electric fields (boundary element method, BEM)
  • numerical modeling of neural activity (leaky integrate and fire model, LIF)
  • analytical model of receptive field relations
  • computational analysis of spatial and/or temporal signals

in, e.g.: Pedraja et al. 2018; Hofmann et al 2017; Hofmann & Chacron 2017

CorrelationStructureFigure: Illustration of a 2 layer LIF model simulating the impact of receptive field interactions (overlapping blue circles and red annuli) onto the output spike train correlation of 2 neighbouring ELL pyramidal neurons.

4. Neuroanatomy

  • extracellular micropipette pressure ejections & pin injections
  • intracellular dye injections
  • electroporation
  • histological post-processing, staining & quantitative analysis

in, e.g.: Hollmann et al. 2016;