M. Abdellah; J. Hernando; S. Eilemann; S. Lapere; N. Antille et al. : NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks; BIOINFORMATICS. 2018. DOI : 10.1093/bioinformatics/bty231.
L. Kanari; P. Dlotko; M. Scolamiero; R. Levi; J. Shillcock et al. : A Topological Representation of Branching Neuronal Morphologies; NEUROINFORMATICS. 2018. DOI : 10.1007/s12021-017-9341-1.


M. Doron; G. Chindemi; E. Muller; H. Markram; I. Segev : Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons; Cell Reports. 2017. DOI : 10.1016/j.celrep.2017.10.035.
M. Vegue; R. Perin; A. Roxin : On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes; Journal Of Neuroscience. 2017. DOI : 10.1523/Jneurosci.0984-17.2017.
M. Abdellah; J. Hernando; N. Antille; S. Eilemann; H. Markram et al. : Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies; Bmc Bioinformatics. 2017. DOI : 10.1186/s12859-017-1788-4.
M. W. Reimann; A.-L. Horlemann; S. Ramaswamy; E. B. Muller; H. Markram : Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity; Cerebral Cortex. 2017. DOI : 10.1093/cercor/bhx150.
M. W. Reimann; M. Nolte; M. Scolamiero; K. Turner; R. Perin et al. : Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function; Frontiers In Computational Neuroscience. 2017. DOI : 10.3389/fncom.2017.00048.
E. Gal; M. London; A. Globerson; S. Ramaswamy; M. W. Reimann et al. : Rich cell-type-specific network topology in neocortical microcircuitry; Nature Neuroscience. 2017. DOI : 10.1038/nn.4576.
M. Abdellah; A. Bilgili; S. Eilemann; J. Shillcock; H. Markram et al. : Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation; Bmc Bioinformatics. 2017. DOI : 10.1186/s12859-016-1444-4.


O. Amsalem; W. Van Geit; E. Muller; H. Markram; I. Segev : From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells; Cerebral Cortex. 2016. DOI : 10.1093/cercor/bhw166.
J. V. Raimondo; H. Tomes; A. Irkle; L. Kay; L. Kellaway et al. : Tight Coupling of Astrocyte pH Dynamics to Epileptiform Activity Revealed by Genetically Encoded pH Sensors; Journal Of Neuroscience. 2016. DOI : 10.1523/Jneurosci.0664-16.2016.
W. Van Geit; M. Gevaert; G. Chindemi; C. Roessert; J.-D. Courcol et al. : BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience; Frontiers In Neuroinformatics. 2016. DOI : 10.3389/fninf.2016.00017.


M. Abdellah; A. Bilgili; S. Eilemann; H. Markram; F. Schürmann : Physically-based in silico light sheet microscopy for visualizing fluorescent brain models; BMC bioinformatics. 2015. DOI : 10.1186/1471-2105-16-S11-S8.
S. Ramaswamy; J.-D. Courcol; M. Abdellah; S. R. Adaszewski; N. Antille et al. : The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex; Frontiers In Neural Circuits. 2015. DOI : 10.3389/fncir.2015.00044.
M. W. Reimann; J. G. King; E. B. Muller; S. Ramaswamy; H. Markram : An algorithm to predict the connectome of neural microcircuits; Frontiers In Computational Neuroscience. 2015. DOI : 10.3389/fncom.2015.00120.
H. Markram; E. Muller; S. Ramaswamy; M. W. Reimann; M. Abdellah et al. : Reconstruction and Simulation of Neocortical Microcircuitry; Cell. 2015. DOI : 10.1016/j.cell.2015.09.029.
V. Khachatryan; A. M. Sirunyan; A. Tumasyan; W. Adam; T. Bergauer et al. : Observation of the rare B-s(0)->mu(+)mu(-) decay from the combined analysis of CMS and LHCb data; Nature. 2015. DOI : 10.1038/nature14474.
D. Keller; N. Babai; O. Kochubey; Y. Han; H. Markram et al. : An Exclusion Zone for Ca2+ Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse; PLoS computational biology. 2015. DOI : 10.1371/journal.pcbi.1004253.
V. Delattre; D. Keller; M. Perich; H. Markram; E. B. Muller : Network-timing-dependent plasticity; Frontiers in cellular neuroscience. 2015. DOI : 10.3389/fncel.2015.00220.
M. R. Favre; D. La Mendola; J. Meystre; D. Christodoulou; M. Cochrane et al. : Predictable enriched environment prevents development of hyper-emotionality in the VPA rat model of autism; Frontiers in Neuroscience. 2015. DOI : 10.3389/fnins.2015.00127.
C. Anastassiou; R. d. C. Perin; G. Buzsaki; H. Markram; C. Koch : Cell-type- and activity-dependent extracellular correlates of intracellular spiking; Journal of Neurophysiology. 2015. DOI : 10.1152/jn.00628.2014.
I. Costantini; J.-P. Ghobril; A. P. Di Giovanna; A. L. A. Mascaro; L. Silvestri et al. : A versatile clearing agent for multi-modal brain imaging; Scientific Reports. 2015. DOI : 10.1038/srep09808.
S. Camacho; S. Michlig; C. De Senarclens-Bezencon; J. Meylan; J. Meystre et al. : Anti-Obesity and Anti-Hyperglycemic Effects of Cinnamaldehyde via altered Ghrelin Secretion and Functional impact on Food Intake and Gastric Emptying; Scientific Reports. 2015. DOI : 10.1038/srep07919.


M. Toledo-Rodriguez; H. Markram : Single-cell RT-PCR, a technique to decipher the electrical, anatomical, and genetic determinants of neuronal diversity; Methods in molecular biology (Clifton, N.J.). 2014. DOI : 10.1007/978-1-4939-1096-0_8.
J. Defelipe; E. Garrido; H. Markram : The death of Cajal and the end of scientific romanticism and individualism; Trends In Neurosciences. 2014. DOI : 10.1016/j.tins.2014.08.002.
M. Pezzoli; A. Elhamdani; S. Camacho; J. Meystre; S. M. Gonzalez et al. : Dampened neural activity and abolition of epileptic-like activity in cortical slices by active ingredients of spices; Scientific Reports. 2014. DOI : 10.1038/srep06825.
A. Béduer; P. Joris; S. Mosser; V. Delattre; P. C. Fraering et al. : Accurate resistivity mouse brain mapping using microelectrode arrays; Biosensors and Bioelectronics. 2014. DOI : 10.1016/j.bios.2014.03.044.
S. Muralidhar; Y. Wang; H. Markram : Synaptic and cellular organization of layer 1 of the developing rat somatosensory cortex; Frontiers In Neuroanatomy. 2014. DOI : 10.3389/fnana.2013.00052.


S. Druckmann; T. K. Berger; F. Schuermann; S. Hill; H. Markram et al. : Correction: Effective Stimuli for Constructing Reliable Neuron Models; PLoS Computational Biology. 2013. DOI : 10.1371/annotation/c002fbe1-712c-4608-9747-f1185f0b7cf4.
R. Perin; H. Markram : A computer-assisted multi-electrode patch-clamp system; Journal of visualized experiments : JoVE. 2013. DOI : 10.3791/50630.
S. Druckmann; S. Hill; F. Schuermann; H. Markram; I. Segev : A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis; Cerebral Cortex. 2013. DOI : 10.1093/cercor/bhs290.
V. Delattre; D. La Mendola; J. Meystre; H. Markram; K. Markram : Nlgn4 knockout induces network hypo-excitability in juvenile mouse somatosensory cortex in vitro; Scientific Reports. 2013. DOI : 10.1038/srep02897.
M. R. Favre; T. R. Barkat; D. Lamendola; G. Khazen; H. Markram et al. : General developmental health in the VPA-rat model of autism; Frontiers In Behavioral Neuroscience. 2013. DOI : 10.3389/fnbeh.2013.00088.
M. W. Reimann; C. A. Anastassiou; R. Perin; S. L. Hill; H. Markram et al. : A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents; Neuron. 2013. DOI : 10.1016/j.neuron.2013.05.023.
E. R. Kandel; H. Markram; P. M. Matthews; R. Yuste; C. Koch : Neuroscience thinks big (and collaboratively); Nature Reviews Neuroscience. 2013. DOI : 10.1038/nrn3578.
E. Hay; F. Schuermann; H. Markram; I. Segev : Preserving axosomatic spiking features despite diverse dendritic morphology; Journal Of Neurophysiology. 2013. DOI : 10.1152/jn.00048.2013.
R. Perin; M. Telefont; H. Markram : Computing the size and number of neuronal clusters in local circuits; Frontiers In Neuroanatomy. 2013. DOI : 10.3389/fnana.2013.00001.
A. Loebel; J.-V. Le Be; M. J. E. Richardson; H. Markram; A. V. M. Herz : Matched Pre- and Post-Synaptic Changes Underlie Synaptic Plasticity over Long Time Scales; Journal Of Neuroscience. 2013. DOI : 10.1523/Jneurosci.3740-12.2013.
J. Griggs; H. Markram : One minute with ... Henry Markram; New Scientist. 2013.


S. Lasserre; J. Hernando; S. Hill; F. Schürmann; P. d. M. Anasagasti et al. : A neuron membrane mesh representation for visualization of electrophysiological simulations; IEEE transactions on visualization and computer graphics. 2012. DOI : 10.1109/TVCG.2011.55.
S. Ramaswamy; S. L. Hill; J. G. King; F. Schürmann; Y. Wang et al. : Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections; The Journal of physiology. 2012. DOI : 10.1113/jphysiol.2011.219576.
G. Khazen; S. L. Hill; F. Schürmann; H. Markram : Combinatorial expression rules of ion channel genes in juvenile rat (Rattus norvegicus) neocortical neurons; PloS one. 2012. DOI : 10.1371/journal.pone.0034786.
H. Markram : The human brain project; Scientific American. 2012.
H. Markram; W. Gerstner; P. J. Sjöström : Spike-timing-dependent plasticity: a comprehensive overview; Frontiers in synaptic neuroscience. 2012. DOI : 10.3389/fnsyn.2012.00002.
S. L. Hill; Y. Wang; I. Riachi; F. Schürmann; H. Markram : Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits; Proceedings of the National Academy of Sciences of the United States of America. 2012. DOI : 10.1073/pnas.1202128109.
J. V. Raimondo; H. Markram; C. J. Akerman : Short-term ionic plasticity at GABAergic synapses; Frontiers in synaptic neuroscience. 2012. DOI : 10.3389/fnsyn.2012.00005.
J. DeFelipe; H. Markram; K. S. Rockland : The neocortical column; Frontiers In Neuroanatomy. 2012. DOI : 10.3389/fnana.2012.00022.


C. A. Anastassiou; R. Perin; H. Markram; C. Koch : Ephaptic coupling of cortical neurons; Nature neuroscience. 2011. DOI : 10.1038/nn.2727.
S. Romand; Y. Wang; M. Toledo-Rodriguez; H. Markram : Morphological development of thick-tufted layer v pyramidal cells in the rat somatosensory cortex; Frontiers in neuroanatomy. 2011. DOI : 10.3389/fnana.2011.00005.
R. Perin; T. K. Berger; H. Markram : A synaptic organizing principle for cortical neuronal groups; Proceedings of the National Academy of Sciences of the United States of America. 2011. DOI : 10.1073/pnas.1016051108.
H. Markram; R. Perin : Innate neural assemblies for lego memory; Frontiers in neural circuits. 2011. DOI : 10.3389/fncir.2011.00006.
E. Hay; S. Hill; F. Schürmann; H. Markram; I. Segev : Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties; PLoS computational biology. 2011. DOI : 10.1371/journal.pcbi.1002107.
R. Ranjan; G. Khazen; L. Gambazzi; S. Ramaswamy; S. L. Hill et al. : Channelpedia: an integrative and interactive database for ion channels; Frontiers in neuroinformatics. 2011. DOI : 10.3389/fninf.2011.00036.
S. Druckmann; T. K. Berger; F. Schuermann; S. Hill; H. Markram et al. : Effective Stimuli for Constructing Reliable Neuron Models; Plos Computational Biology. 2011. DOI : 10.1371/journal.pcbi.1002133.
G. Miller; H. Markram : Newsmaker interview: Heny Markram Blue Brain founder responds to critics, clarifies his goals; Science. 2011.
H. Markram; W. Gerstner; P. J. Sjöström : A history of spike-timing-dependent plasticity; Frontiers in Synaptic Neuroscience. 2011. DOI : 10.3389/fnsyn.2011.00004.


K. Markram; H. Markram : The intense world theory - a unifying theory of the neurobiology of autism; Frontiers in human neuroscience. 2010. DOI : 10.3389/fnhum.2010.00224.
T. K. Berger; G. Silberberg; R. Perin; H. Markram : Brief Bursts Self-Inhibit and Correlate the Pyramidal Network; Plos Biology. 2010. DOI : 10.1371/journal.pbio.1000473.
L. Gambazzi; O. Gokce; T. Seredenina; E. Katsyuba; H. Runne et al. : Diminished activity-dependent brain-derived neurotrophic factor expression underlies cortical neuron microcircuit hypoconnectivity resulting from exposure to mutant huntingtin fragments; The Journal of pharmacology and experimental therapeutics. 2010. DOI : 10.1124/jpet.110.167551.


G. T. Silva; J.-V. Le Bé; I. Riachi; T. Rinaldi; K. Markram et al. : Enhanced long-term microcircuit plasticity in the valproic Acid animal model of autism; Frontiers in synaptic neuroscience. 2009. DOI : 10.3389/neuro.19.001.2009.
S. Gawad; M. Giugliano; M. Heuschkel; B. Wessling; H. Markram et al. : Substrate arrays of iridium oxide microelectrodes for in vitro neuronal interfacing; Frontiers in neuroengineering. 2009. DOI : 10.3389/neuro.16.001.2009.
J. G. King; M. Hines; S. Hill; P. H. Goodman; H. Markram et al. : A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON; Frontiers in neuroinformatics. 2009. DOI : 10.3389/neuro.11.010.2009.
A. Loebel; G. Silberberg; D. Helbig; H. Markram; M. Tsodyks et al. : Multiquantal release underlies the distribution of synaptic efficacies in the neocortex; Frontiers in computational neuroscience. 2009. DOI : 10.3389/neuro.10.027.2009.
G. Cellot; E. Cilia; S. Cipollone; V. Rancic; A. Sucapane et al. : Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts; Nature Nanotechnology. 2009. DOI : 10.1038/NNANO.2008.374.
T. K. Berger; R. Perin; G. Silberberg; H. Markram : Frequency-dependent disynaptic inhibition in the pyramidal network: a ubiquitous pathway in the developing rat neocortex; Journal Of Physiology-London. 2009. DOI : 10.1113/jphysiol.2009.176552.
S. Gawad; M. Giugliano; M. O. Heuschkel; B. Wessling; H. Markram et al. : Substrate arrays of iridium oxide microelectrodes for in-vitro neuronal interfacing; Frontiers in Neuroengineering. 2009. DOI : 10.3389/neuro.16.001.2009.


M. L. Hines; H. Markram; F. Schürmann : Fully implicit parallel simulation of single neurons; Journal of computational neuroscience. 2008. DOI : 10.1007/s10827-008-0087-5.
O. Melamed; O. Barak; G. Silberberg; H. Markram; M. Tsodyks : Slow oscillations in neural networks with facilitating synapses; Journal of computational neuroscience. 2008. DOI : 10.1007/s10827-008-0080-z.
T. Rinaldi; C. Perrodin; H. Markram : Hyper-connectivity and hyper-plasticity in the medial prefrontal cortex in the valproic Acid animal model of autism; Frontiers in neural circuits. 2008. DOI : 10.3389/neuro.04.004.2008.
S. Druckmann; T. K. Berger; S. Hill; F. Schürmann; H. Markram et al. : Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data; Biological cybernetics. 2008. DOI : 10.1007/s00422-008-0269-2.
M. Pospischil; M. Toledo-Rodriguez; C. Monier; Z. Piwkowska; T. Bal et al. : Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons; Biological cybernetics. 2008. DOI : 10.1007/s00422-008-0263-8.
H. Markram : Fixing the location and dimensions of functional neocortical columns; HFSP journal. 2008. DOI : 10.2976/1.2919545.
T. Rinaldi; G. Silberberg; H. Markram : Hyperconnectivity of Local Neocortical Microcircuitry Induced by Prenatal Exposure to Valproic Acid; Cereb Cortex. 2008. DOI : 10.1093/cercor/bhm117.
C. Cali; T. K. Berger; M. Pignatelli; A. Carleton; H. Markram et al. : Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis; J Comput Neurosci. 2008. DOI : 10.1007/s10827-007-0058-2.
K. Markram; T. Rinaldi; D. La Mendola; C. Sandi; H. Markram : Abnormal fear conditioning and amygdala processing in an animal model of autism; Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2008. DOI : 10.1038/sj.npp.1301453.
J. Kozloski; K. Sfyrakis; S. Hill; F. Schürmann; C. Peck et al. : Identifying, tabulating, and analyzing contacts between branched neuron morphologies; IBM Journal of Research and Development. 2008.


M. Toledo-Rodriguez; H. Markram : Single-cell RT-PCR, a technique to decipher the electrical, anatomical, and genetic determinants of neuronal diversity; Methods in molecular biology (Clifton, N.J.). 2007. DOI : 10.1007/978-1-59745-529-9_8.
G. Silberberg; H. Markram : Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells; Neuron. 2007. DOI : 10.1016/j.neuron.2007.02.012.
T. Rinaldi; K. Kulangara; K. Antoniello; H. Markram : Elevated NMDA receptor levels and enhanced postsynaptic long-term potentiation induced by prenatal exposure to valproic acid; Proc Natl Acad Sci U S A. 2007. DOI : 10.1073/pnas.0704391104.
A. Mazzatenta; M. Giugliano; S. Campidelli; L. Gambazzi; L. Businaro et al. : Interfacing neurons with carbon nanotubes: electrical signal transfer and synaptic stimulation in cultured brain circuits; J Neurosci. 2007. DOI : 10.1523/JNEUROSCI.1051-07.2007.
H. Markram; T. Rinaldi; K. Markram : The intense world syndrome – an alternative hypothesis for autism; Front. Neurosci.. 2007. DOI : 10.3389/neuro.
H. Markram : Bioinformatics: industrializing neuroscience; Nature. 2007. DOI : 10.1038/445160a.
J. V. Le Be; G. Silberberg; Y. Wang; H. Markram : Morphological, electrophysiological, and synaptic properties of corticocallosal pyramidal cells in the neonatal rat neocortex; Cereb Cortex. 2007. DOI : 10.1093/cercor/bhl127.
S. Druckmann; Y. Banitt; A. Gidon; F. Schürmann; H. Markram et al. : A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data; Front. Neurosci.. 2007. DOI : 10.3389/neuro.


Y. Wang; H. Markram; P. H. Goodman; T. K. Berger; J. Ma et al. : Heterogeneity in the pyramidal network of the medial prefrontal cortex; Nat Neurosci. 2006. DOI : 10.1038/nn1670.
M. Migliore; C. Cannia; W. W. Lytton; H. Markram; M. L. Hines : Parallel network simulations with NEURON; J Comput Neurosci. 2006. DOI : 10.1007/s10827-006-7949-5.
J. V. Le Be; H. Markram : Spontaneous and evoked synaptic rewiring in the neonatal neocortex; Proc Natl Acad Sci U S A. 2006. DOI : 10.1073/pnas.0604691103.
J. V. Le Be; H. Markram : [A new mechanism for memory: neuronal networks rewiring in the young rat neocortex]; Med Sci (Paris). 2006. DOI : 10.1051/medsci/200622121031.


M. Toledo-Rodriguez; P. Goodman; M. Illic; C. Wu; H. Markram : Neuropeptide and calcium-binding protein gene expression profiles predict neuronal anatomical type in the juvenile rat; J Physiol. 2005. DOI : 10.1113/jphysiol.2005.089250.
A. J. Muhammad; H. Markram : NEOBASE: databasing the neocortical microcircuit; Stud Health Technol Inform. 2005.
N. Kalisman; G. Silberberg; H. Markram : The neocortical microcircuit as a tabula rasa; Proc Natl Acad Sci U S A. 2005. DOI : 10.1073/pnas.0407088102.
O. Melamed; G. Silberberg; H. Markram; W. Gerstner; M. J. E. Richardson : Subthreshold cross-correlations between cortical neurons: A reference model with static synapses; NEUROCOMPUTING. 2005. DOI : 10.1016/j.neucom.2004.10.098.
M. J. E. Richardson; O. Melamed; G. Silberberg; W. Gerstner; H. Markram : Short-term-plasticity orchestrates the response of pyramidal cells and interneurons to population bursts; J. Computational Neuroscience. 2005. DOI : 10.1007/s10827-005-0434-8.


Y. Wang; M. Toledo-Rodriguez; A. Gupta; C. Wu; G. Silberberg et al. : Anatomical, physiological and molecular properties of Martinotti cells in the somatosensory cortex of the juvenile rat; J Physiol. 2004. DOI : 10.1113/jphysiol.2004.073353.
M. Toledo-Rodriguez; B. Blumenfeld; C. Wu; J. Luo; B. Attali et al. : Correlation maps allow neuronal electrical properties to be predicted from single-cell gene expression profiles in rat neocortex; Cereb Cortex. 2004. DOI : 10.1093/cercor/bhh092.
G. Silberberg; C. Wu; H. Markram : Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit; J Physiol. 2004. DOI : 10.1113/jphysiol.2004.060962.
G. Silberberg; M. Bethge; H. Markram; K. Pawelzik; M. Tsodyks : Dynamics of population rate codes in ensembles of neocortical neurons; Journal of Neurophysiology. 2004. DOI : 10.1152/jn.00415.2003.
W. Maass; T. Natschlager; H. Markram : Fading memory and kernel properties of generic cortical microcircuit models; J Physiol Paris. 2004. DOI : 10.1016/j.jphysparis.2005.09.020.
O. Melamed; W. Gerstner; W. Maass; M. Tsodyks; H. Markram : Coding and Learning of behavioral sequences; Trends in Neurosciences. 2004. DOI : 10.1016/j.tins.2003.10.014.


J. F. Linden; H. Markram : Preface to the Special Issue; Cerebral Cortex. 2003. DOI : 10.1093/cercor/13.1.1.
N. Kalisman; G. Silberberg; H. Markram : Deriving physical connectivity from neuronal morphology; Biol Cybern. 2003. DOI : 10.1007/s00422-002-0377-3.
S. Häusler; H. Markram; W. Maass : Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts; Complexity. 2003. DOI : 10.1002/cplx.10089.


Y. Wang; A. Gupta; M. Toledo-Rodriguez; C. Z. Wu; H. Markram : Anatomical, physiological, molecular and circuit properties of nest basket cells in the developing somatosensory cortex; Cereb Cortex. 2002. DOI : 10.1093/cercor/12.4.395.
T. Natschläger; W. Maass; H. Markram : The "Liquid Computer": A Novel Strategy for Real-Time Computing on Time Series; Special Issue on Foundations of Information Processing of TELEMATIK . 2002.
W. Maass; T. Natschlager; H. Markram : Real-time computing without stable states: a new framework for neural computation based on perturbations; Neural Comput. 2002. DOI : 10.1162/089976602760407955.
W. Maass; H. Markram : Synapses as dynamic memory buffers; Neural Networks. 2002. DOI : 10.1016/S0893-6080(01)00144-7.
G. Fuhrmann; I. Segev; H. Markram; M. Tsodyks : Coding of temporal information by activity-dependent synapses; J Neurophysiol. 2002.
G. Fuhrmann; H. Markram; M. Tsodyks : Spike frequency adaptation and neocortical rhythms; Journal of Neurophysiology. 2002.


W. Senn; H. Markram; M. Tsodyks : An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing; Neural computation. 2001.


M. Tsodyks; A. Uziel; H. Markram : Synchrony generation in recurrent networks with frequency-dependent synapses; The Journal of neuroscience : the official journal of the Society for Neuroscience. 2000.
A. Gupta; Y. Wang; H. Markram : Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex; Science (New York, N.Y.). 2000.


H. Markram; Y. Wang; M. Tsodyks : Differential signaling via the same axon of neocortical pyramidal neurons; Proceedings of the National Academy of Sciences of the United States of America. 1998.
M. Tsodyks; K. Pawelzik; H. Markram : Neural networks with dynamic synapses; Neural computation. 1998.
H. Markram; A. Roth; F. Helmchen : Competitive calcium binding: implications for dendritic calcium signaling; Journal of computational neuroscience. 1998.
H. Markram; D. Pikus; A. Gupta; M. Tsodyks : Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses; Neuropharmacology. 1998.
H. Markram; A. Gupta; A. Uziel; Y. Wang; M. Tsodyks : Information processing with frequency-dependent synaptic connections; Neurobiology of learning and memory. 1998. DOI : 10.1006/nlme.1998.3841.


H. Markram; J. Lübke; M. Frotscher; B. Sakmann : Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs; Science (New York, N.Y.). 1997.
M. V. Tsodyks; H. Markram : The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability; Proceedings of the National Academy of Sciences of the United States of America. 1997.
H. Markram; J. Lübke; M. Frotscher; A. Roth; B. Sakmann : Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex; The Journal of physiology. 1997. DOI : 10.1113/jphysiol.1997.sp022031.
W. Gerstner; A. K. Kreiter; H. Markram; A. V. M. Herz : Neural codes: firing rates and beyond; Proc. Natl. Acad. Sci. USA. 1997. DOI : 10.1073/pnas.94.24.12740.


J. Lübke; H. Markram; M. Frotscher; B. Sakmann : Frequency and dendritic distribution of autapses established by layer 5 pyramidal neurons in the developing rat neocortex: comparison with synaptic innervation of adjacent neurons of the same class; The Journal of neuroscience : the official journal of the Society for Neuroscience. 1996.
H. Markram; M. Tsodyks : Redistribution of synaptic efficacy between neocortical pyramidal neurons; Nature. 1996. DOI : 10.1038/382807a0.


H. Markram; P. J. Helm; B. Sakmann : Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons; The Journal of physiology. 1995.


H. Markram; B. Sakmann : Calcium transients in dendrites of neocortical neurons evoked by single subthreshold excitatory postsynaptic potentials via low-voltage-activated calcium channels; Proceedings of the National Academy of Sciences of the United States of America. 1994.


H. Markram; M. Segal : The inositol 1,4,5-trisphosphate pathway mediates cholinergic potentiation of rat hippocampal neuronal responses to NMDA; The Journal of physiology. 1992.
G. Richter-Levin; H. Markram; M. Segal : Spontaneous recovery of deficits in spatial memory and cholinergic potentiation of NMDA in CA1 neurons during chronic lithium treatment; Hippocampus. 1992. DOI : 10.1002/hipo.450020307.
H. Markram; M. Segal : Activation of protein kinase C suppresses responses to NMDA in rat CA1 hippocampal neurones; The Journal of physiology. 1992.


H. Markram; M. Segal : Calcimycin potentiates responses of rat hippocampal neurons to N-methyl-D-aspartate; Brain research. 1991.


H. Markram; M. Segal : Electrophysiological characteristics of cholinergic and non-cholinergic neurons in the rat medial septum-diagonal band complex; Brain research. 1990.
H. Markram; M. Segal : Acetylcholine potentiates responses to N-methyl-D-aspartate in the rat hippocampus; Neuroscience letters. 1990.
H. Markram; M. Segal : Regional changes in NGF receptor immunohistochemical labeling in the septum of the aged rat; Neurobiology of aging. 1990.
H. Markram; M. Segal : Long-lasting facilitation of excitatory postsynaptic potentials in the rat hippocampus by acetylcholine; The Journal of physiology. 1990.


M. Segal; V. Greenberger; H. Markram : Presynaptic cholinergic action in the hippocampus; EXS. 1989.