J. S. Coggan; C. Cali; D. Keller; M. Agus; D. Boges et al. : A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble; Frontiers In Neuroscience. 2018-09-25. DOI : 10.3389/fnins.2018.00664.
C. Erö : Data-driven reconstruction of a point neuron mouse brain. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8962.
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.
L. Kanari : Neuronal morphologies: the shapes of thoughts. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8255.
G. Chindemi : Towards a unified understanding of synaptic plasticity. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8186.


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. Abdellah : In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-8161.
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.
W. A. M. Wybo : Using the Green's function to simplify and understand dendrites. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7869.
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.
J. Coggan; D. Keller; C. Cal; H. Lehvaslaiho; F. Schurmann et al. : Modeling the metabolic response of astrocytes to neuronal activity. 2017. 13th European Meeting on Glial Cells in Health and Disease, Edinburgh, SCOTLAND, JUL 08-11, 2017. p. E280-E280.
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.
R. L. Richardet : Agile in-litero experiments. Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6809.


M. Reimann; H. Markram; F. Schürmann; E. B. Muller; S. Hill et al. ; Structural to functional synaptic conversion. US9165244 ; US2014108315 . 2015.
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.
S. Ramaswamy; H. Markram : Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron; Frontiers In Cellular Neuroscience. 2015. DOI : 10.3389/fncel.2015.00233.
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.
R. Frackowiak; H. Markram : The future of human cerebral cartography: a novel approach; Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 2015. DOI : 10.1098/rstb.2014.0171.
J. P. Ghobril : Large Volume Imaging of Rodent Brain Anatomy with Emphasis on Selective Plane Illumination Microscopy. Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6533.
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.


G. Khazen; H. Markram; F. Schürmann; M. Telefont ; Distributor of neurons in a neocortical column. US2014107992 . 2014.
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.
F. Tauheed : Scalable Exploration of Spatial Data in Large-Scale Scientific Simulations. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6125.
M. Reimann : The In-Silico Neocortical Microcircuit. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6168.
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.
W. F. Podlaski; A. Seeholzer; R. Rajnish; T. Vogels : Visualizing the similarity and pedigree of NEURON ion channel models available on ModelDB ; COSYNE 2014, Salt Lake City & Snowbird, Utah, USA, February 27 - March 4, 2014.
F. Tauheed; T. Heinis; F. Schürmann; H. Markram; A. Ailamaki : OCTOPUS: Efficient Query Execution on Dynamic Mesh Datasets. 2014. 30st International Conference on Data Engineering (ICDE '14), Chicago, USA, April, 2014.


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.
H. Markram : Seven challenges for neuroscience; Functional neurology. 2013. DOI : 10.11138/FNeur/2013.28.3.145.
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 : Hyper-emotional neurophysiology in a rat model of autism. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5996.
S. Muralidhar : Synaptic and Cellular Organization of Layer 1 of the Developing Rat Somatosensory Cortex. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5902.
V. Delattre : Network Activity and Plasticity. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5901.
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.
J. Defelipe; P. L. Lopez-Cruz; R. Benavides-Piccione; C. Bielza; P. Larranaga et al. : New insights into the classification and nomenclature of cortical GABAergic interneurons; Nature Reviews Neuroscience. 2013. DOI : 10.1038/nrn3444.


M. Giugliano; R. Luthi-carter; H. Markram; L. Gambazzi; O. Goekce ; Method for in-vitro monitoring of neuronal disorders and use thereof. EP2591356 ; US2013109048 ; WO2012004778 . 2012.
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.
F. Tauheed; T. Heinis; F. Schürmann; H. Markram; A. Ailamaki : SCOUT: Prefetching for Latent Structure Following Queries. 2012. 38th International Conference on Very Large Databases (VLDB '12), Istanbul, Turkey, August, 2012.
F. Tauheed; L. Biveinis; T. Heinis; F. Schürmann; H. Markram et al. : Accelerating Range Queries For Brain Simulations. 2012. 28th International Conference on Data Engineering (ICDE '12), Washington DC, USA, March, 2012. DOI : 10.1109/Icde.2012.56.


H. Markram; R. d. C. Perin; T. Berger ; Organizing neural networks. DK2531959 ; EP2531959 ; US2015363689 ; CN102859538 ; US2012323833 ; EP2531959 ; WO2011095342 . 2011.
H. Markram ; Encoding and decoding of information. CN104901702 ; CN102648582 ; US8941512 ; JP2014209794 ; US2012313798 ; US8253607 ; CN102648582 ; EP2460276 ; US2012119926 ; KR20120046760 ; US8159373 ; WO2011012614 ; US2011025532 ; WO2011012158 ; WO2011012614 . 2011.
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.
H. Markram; K. Meier; T. Lippert; S. Grillner; R. Frackowiak et al. : Introducing the Human Brain Project. 2011. 2nd European Future Technologies Conference and Exhibition (FET), Budapest, HUNGARY, May 04-06, 2011. p. 39-42. DOI : 10.1016/j.procs.2011.12.015.
Augmenting cognition ; Lausanne: EPFL Press.
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; K. Markram : Frontiers research : seek, share & create; Common knowledge : the challenge of transdisciplinarity; Lausanne, Switzerland: EPFL Press, 2011. p. 145-162.
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.
S. Ramaswamy : Emergent Properties of in silico Synaptic Transmission in a Model of the Rat Neocortical Column. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5208.
R. Ranjan : Engineering Neuron Models. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5129.
G. Khazen : Predictive Engineering the Membrane Composition of Neocortical Neurons. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5067.
M. A. Jan : A Pipeline Based Approach for Experimental Neuroscience Data Management. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-4863.


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.
L. Gambazzi : Impact of Carbon-Nanotube Substrate Coating in Neuronal Networks. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4713.
R. d. C. Perin : Emergent Dynamics in Neocortical Microcircuits. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4705.
I. Riachi : Emergent Connectivity Principles in the Neocortex. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4631.


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.
T. Berger : Properties of neocortical microcircuits. Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4454.
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. Pignatelli : Structure and function of the olfactory bulb microcircuit. Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4275.


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.
A. Pala; G. Shepherd : Modified Trans-synaptic Tracing Viruses Reveal Novel Connectivity in the Rat Olfactory Bulb ; 2008.
V. Delattre : Population response in autaptic and disynaptic inhibitory cortical microcircuitry: a computational study ; 2008.
C. Perrodin; C. I. Petkov; N. K. Logothetis; H. Markram : Multisensory integration of dynamic voices and faces in the monkey brain ; 2008.
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.
H. Markram; T. Rinaldi; T. Markram; M. Rodriguez Bravo; B. Mattson et al. ; Methods For Treating And/Or Preventing Pervasive Developmental Disorders In A Subject. WO2007029063 ; WO2007029063 . 2007.
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.
J.-V. Le Bé : Structure and dynamics of the neocortical microcircuit connectivity. Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3802.


L. Righetti; J. Buchli; A. J. Ijspeert; A. J. Ijspeert : Programmable Central Pattern Generators. 2006. EPFL LATSIS Symposium 2006, Lausanne, March 8-10, 2006. p. 129-130.
H. Markram : The blue brain project; Nat Rev Neurosci. 2006. DOI : 10.1038/nrn1848.
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.
T. Rinaldi : Altered neocortical microcircuitry in the valproic acid rat model of autism. Lausanne, EPFL, 2006. DOI : 10.5075/epfl-thesis-3701.
A. Ijspeert; J. Buchli; A. Selverston; M. Rabinovich; M. Hasler et al. : Dynamical principles for neuroscience and intelligent biomimetic devices ; Lausanne: EPFL.


G. Silberberg; S. Grillner; F. E. LeBeau; R. Maex; H. Markram : Synaptic pathways in neural microcircuits; Trends Neurosci. 2005. DOI : 10.1016/j.tins.2005.08.004.
S. Grillner; H. Markram; E. De Schutter; G. Silberberg; F. E. LeBeau : Microcircuits in action--from CPGs to neocortex; Trends Neurosci. 2005. DOI : 10.1016/j.tins.2005.08.003.
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.
H. Markram; X. Luo; G. Silberberg; M. Toledo-Rodriguez; A. Gupta : The Neocortical Microcircuit Database (NMDB); Databasing the Brain: From Data to Knowledge (Neuroinformatics); Wiley Press, 2005. p. 327-342.
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.
W. Maass; T. Natschläger; H. Markram : Computational Models for Generic Cortical Microcircuits; Computational Neuroscience: A Comprehensive Approach; Chapman & Hall/CRC, 2004. p. 575-605.
A. Gupta; M. Toledo-Rodriguez; G. Silberberg; H. Markram : Interneuron Heterogeneity in the Neocortex; Excitatory-Inhibitory Balance: Synapses, Circuits, Systems ; Kluwer Academic Publishing, 2004.
H. Monyer; H. Markram : Interneuron Diversity series: Molecular and genetic tools to study GABAergic interneuron diversity and function; Trends Neurosci. 2004. DOI : 10.1016/j.tins.2003.12.008.
H. Markram; M. Toledo-Rodriguez; Y. Wang; A. Gupta; G. Silberberg et al. : Interneurons of the neocortical inhibitory system; Nat Rev Neurosci. 2004. DOI : 10.1038/nrn1519.
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.
T. Natschläger; H. Markram; W. Maass : Computer models and analysis tools for neural microcircuits; Neuroscience Databases: A Practical Guide,; Kluwer Academic Publishers, 2003. p. 123-138.
W. Maass; H. Markram : Temporal integration in recurrent microcircuits; The Handbook of Brain Theory and Neural Networks; MIT Press, 2003. p. 1159-1163.
R. Legenstein; H. Markram; W. Maass : Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons; Rev Neurosci. 2003.
W. Maass; T. Natschläger; H. Markram; S. Becker; S. Thrun et al. : A Model for Real-Time Computation in Generic Neural Microcircuits. 2003. NIPS 2002, Vancouver, British Columbia, December 12-14, 2002.


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.
G. Silberberg; A. Gupta; H. Markram : Stereotypy in neocortical microcircuits; Trends Neurosci. 2002.
W. Maass; R. A. Legenstein; H. Markram; H. H. Buelthoff; S. W. Lee et al. : A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. 2002. Second International Workshop, BMCV 2002, Tübingen, Germany, November 22-24, 2002. p. 282-293.


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.


Y. Wang; A. Gupta; H. Markram : Anatomical and functional differentiation of glutamatergic synaptic innervation in the neocortex; Journal of physiology, Paris. 1999.


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.
H. Markram : A network of tufted layer 5 pyramidal neurons; Cerebral cortex (New York, N.Y. : 1991). 1997.
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.


H. Markram; M. Tsodyks : Redistribution of synaptic efficacy: a mechanism to generate infinite synaptic input diversity from a homogeneous population of neurons without changing absolute synaptic efficacies; Journal of physiology, Paris. 1996.
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.


M. Segal; H. Markram; G. Richter-Levin : Actions of norepinephrine in the rat hippocampus; Progress in brain research. 1991. DOI : 10.1016/S0079-6123(08)63819-4.
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.