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Henry Markram: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Wolfgang Maass, Robert A. Legenstein, Henry Markram
    A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2002, pp:282-293 [Conf]
  2. Henry Markram, Misha Tsodyks
    The Information Content of Action Potential Trains - A Synaptic Basis. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:13-23 [Conf]
  3. Walter Senn, Misha Tsodyks, Henry Markram
    An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:121-126 [Conf]
  4. Misha Tsodyks, Henry Markram
    Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:445-450 [Conf]
  5. Wolfgang Maass, Thomas Natschläger, Henry Markram
    A Model for Real-Time Computation in Generic Neural Microcircuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:213-220 [Conf]
  6. Henry Markram
    Biology - The blue brain project. [Citation Graph (0, 0)][DBLP]
    SC, 2006, pp:53- [Conf]
  7. Nir Kalisman, Gilad Silberberg, Henry Markram
    Deriving physical connectivity from neuronal morphology. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2003, v:88, n:3, pp:210-218 [Journal]
  8. Wolfgang Maass, Henry Markram
    On the Computational Power of Recurrent Circuits of Spiking Neurons [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2002, v:, n:022, pp:- [Journal]
  9. Ofer Melamed, Gilad Silberberg, Henry Markram, Wulfram Gerstner, Magnus J. E. Richardson
    Subthreshold cross-correlations between cortical neurons: A reference model with static synapses. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:685-690 [Journal]
  10. James B. Maciokas, Philip Goodman, John Kenyon, Maria Toledo-Rodriguez, Henry Markram
    Accurate dynamical models of interneuronal GABAergic channel physiologies. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:5-14 [Journal]
  11. Henry Markram, Arnd Roth, Fritjof Helmchen
    Competitive Calcium Binding: Implications for Dendritic Calcium Signaling. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 1998, v:5, n:3, pp:331-348 [Journal]
  12. Wolfgang Maass, Henry Markram
    On the computational power of circuits of spiking neurons. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2004, v:69, n:4, pp:593-616 [Journal]
  13. Wolfgang Maass, Thomas Natschläger, Henry Markram
    Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:11, pp:2531-2560 [Journal]
  14. Walter Senn, Henry Markram, Misha Tsodyks
    An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:1, pp:35-67 [Journal]
  15. Misha Tsodyks, Klaus Pawelzik, Henry Markram
    Neural Networks with Dynamic Synapses. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:4, pp:821-835 [Journal]
  16. Stephen Grossberg, Wolfgang Maass, Henry Markram
    Introduction: Spiking Neurons in Neuroscience and Technology. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:6-7, pp:587-0 [Journal]
  17. Wolfgang Maass, Henry Markram
    Synapses as dynamic memory buffers. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:1, pp:155-161 [Journal]

  18. Network-Related Challenges and Insights from Neuroscience. [Citation Graph (, )][DBLP]


  19. Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. [Citation Graph (, )][DBLP]


  20. Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. [Citation Graph (, )][DBLP]


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