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Prof. Juergen Jost


Max Planck Institute for Mathematics in the Sciences

EUCogII Member ID: 1110

Research website:



Research interests (website):

Research Interests


  • J. Jost. Temporal correlation based learning in neuron models. Theory Bioscienc., (2006):37-53, 125.
  • H. Tuckwell and J. Jost. Weak noise in neurons may powerfully inhibit the generation of repetitive spiking but not its propagation. PLoS Comput Biol, 6(5):e1000794, 05 2010.
  • J.Computat.Neurosc., 2010. B. Gutkin, J. Jost, and H. Tuckwell. Inhibition of rhythmic neural spiking by noise: the occurrence of a minimum in activity with increasing noise. Naturwissenschaften, 96:1091-1097, 2009.
  • B. Englitz, S. Tolnai, M. Typlt, C. Kopp-Scheinpflug, J. Jost, and R. Rübsamen. Reliability of signal transmission at the synapses of Held in vivo under stimulation. PLoS ONE, 4:e7014. doi:10.1371/journal.pone.0007014, 2009.
  • O. Breidbach and J. Jost. On the gestalt concept. Theory Bioscienc., (2006):19-36, 125.
  • J. Jost. Formal tools for the analysis of brain-like structures and dynamics. In B. Sendho�, editor, Lect. Notes Comput. Science, pages 51-65. Springer, 2009.
  • Stollhoff R. Jost J. Elze T., Song C. Chinese characters reveal impacts of prior experience on very early stages of perception. BMC Neuroscience, 12:doi:10.1186/1471-2202-12-14, 2011.
  • R. Stollhoff, J. Jost, T. Elze, and I. Kennerknecht. The early time course of compensatory face processing in congenital prosopagnosia. PLoS ONE, 5(7):e11482, 07 2010.
  • R. Stollhoff, J. Jost, T. Elze, and I. Kennerknecht. Deficits in long-term recognition memory reveal dissociated subtypes in congenital prosopagnosia. PLoS ONE, 6(1):e15702, 01 2011. Topics Visual masking recurrent processing and feedback prosopagnosia computational models
  • J. Jost. Mathematical methods in biology and neurobiology. Lecture Notes 2007. (download lecture note, PDF, 850 kbyte)
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