Peer reviewed publications


  1. Hofmann V & Metzen MG (in press) Parallel coding in the electrosensory medulla: physiological heterogeneity facilitates processing of diverse stimulus classes.
    In: “The Senses: A Comprehensive Reference, 2nd Edition” (Elsevier) →link
  2. Hofmann V, Chacron MJ Neural On- and Off-type heterogeneities improve population coding of envelope signals in the presence of stimulus-induced noise. Sci Rep 10: 10194→link
  3. Pedraja F, Hofmann V, Goulet J, Engelmann J Task related sensorimotor adjustments increase the sensory range in electrolocation. J Neurosci  →link
  4. Metzen MG, Hofmann V, Chacron MJ (2020) Neural synchrony gives rise to amplitude- and duration invariant encoding consistent with perception of natural communication stimuli. Front Neurosci 14:79 →link


  1. Hofmann V & Chacron MJ The novel roles of closed-loop feedback in electrosensory processing. Front Integr Neurosci 13:52 →link


  1. Hofmann V & Chacron MJ: Active sensing: Constancy requires change. Curr Bio 28: R1382-R1405 →link 
    invited dispatch article for: Biswas D, Arend LA, Stamper SA, Vagvolgyi BP, Fortune ES, Cowan NJ: Closed-loop control of active sensing movement regulates sensory slip. Curr Bio 28:4029-4036 →link
  2. Hofmann V & Chacron MJ: Population coding and correlated variability in electrosensory pathways. Front Integr Neurosci 12:65 →link
  3. Nagel R, Kirschbaum F, Hofmann V, Engelmann J, Tidemann R: Sparking attraction – electric pulse characteristics enable species recognition in some but not all African weakly electric fish species. Sci Rep 8(1):10799 →link
  4. Nagel R, Kirschbaum F, Engelmann J, Hofmann V, Pawelzik F, Tidemann R: Male-driven species recognition among African weakly electric fish. Royal Soc Open Sci 5(2):170443 →link
  5. Pedraja F* Hofmann V*, Lucas KM, Young C, Engelmann J, Lewis JE: Motion parallax in electric sensing. PNAS 115(3) 573-577 →link
    *equal contribution


  1. Hofmann V & Chacron MJ: Differential receptive field organizations give rise to nearly identical neural correlations across three parallel sensory maps in weakly electric fish. PLoS Comput Biol 13(9): e1005716 →link
  2. Hofmann V, Sanguinetti-Scheck JI, Gómez-Sena L, Engelmann J: Sensory flow as a basis for a novel distance cue in freely behaving electric fish. J Neurosci 37(2): 302-312 →link


  1. Metzen MG, Hofmann V, Chacron JM: Neural correlations enable invariant coding and perception of natural stimuli. eLIFE 5: e12993 →link
    highlighted in:  Sharpee TO: Neural coding: Taking a close look at electrosensing. eLIFE 5: e16209 →link
  2. Hollmann V, Hofmann V, Engelmann J: Somatotopic map of the active electrosensory sense in the midbrain of the mormyrid Gnathonemus petersii. J Comp Neurol 524(12): 2479-2491 →link


  1. Hofmann V, Geurten B, Sanguinetti-Scheck JI, Gómez-Sena L, Engelmann J: Motor patterns during active electrosensory acquisition. Front Behav Neurosci 8(186): 1-14 →link


  1. Hofmann V, Sanguinetti-Scheck JI, Künzel S, Geurten B, Gómez-Sena L, Engelmann J: Sensory flow shaped by active sensing: sensorimotor strategies in electric fish. J Exp Biol 216: 2487-2500 →link
    special issue editorial: Krahe R, Fortune ES: Electric fishes: neural systems, behavior and evolution. J Exp Biol 216: 2363-2364 →link
  2. Hofmann V, Sanguinetti-Scheck JI, Gómez-Sena L, Engelmann J: From static electric images to electrosensory flow: towards dynamic perceptual cues in active electroreception. J Phys Paris 107: 95-106 →link 

Manuscripts (currently under consideration)

  • A novel channel of information encoding: neuronal variability encodes 2nd order stimulus attribute in an weakly electric fish. (in preparation)
  • Optimized decoding of synergistic sensory neural population activities generates behavior (in preparation)


  • Dissertation (2015) Sensorimotor interaction in an active sensory system. University of Bielefeld, CITEC & Faculty of Biology.
  • Diploma Thesis (2010) Responses of midbrain lateral line units in the torus semicircularis of the goldfish, Carassius auratus, to bulk water flow. University of Bonn, Faculty of Mathematics & Natural Sciences.