Source: https://people.epfl.ch/henry.markram
Timestamp: 2019-04-20 12:48:11+00:00

Document:
C. Ero; M.-O. Gewaltig; D. Keller; H. Markram : A Cell Atlas for the Mouse Brain (vol 12, 84, 2018); Frontiers In Neuroinformatics. 2019-02-19. DOI : 10.3389/fninf.2019.00007.
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.
R. Migliore; C. A. Lupascu; L. L. Bologna; A. Romani; J.-D. Courcol et al. : The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow; Plos Computational Biology. 2018-09-01. DOI : 10.1371/journal.pcbi.1006423.
C. Erö / H. Markram; M.-O. Gewaltig (Dir.) : 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 / H. Markram; J. C. Shillcock (Dir.) : Neuronal morphologies: the shapes of thoughts. Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8255.
G. Chindemi / H. Markram; E. B. Muller (Dir.) : 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 / H. Markram; F. Schürmann (Dir.) : In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-8161.
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 / H. Markram; M.-O. Gewaltig (Dir.) : 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 / H. Markram; J.-C. Chappelier (Dir.) : 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.
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 / H. Markram; F. S. Pavone (Dir.) : 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 / A. Ailamaki; H. Markram (Dir.) : Scalable Exploration of Spatial Data in Large-Scale Scientific Simulations. Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6125.
M. Reimann / H. Markram; S. Hill (Dir.) : 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 / H. Markram; K. Markram (Dir.) : Hyper-emotional neurophysiology in a rat model of autism. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5996.
S. Muralidhar / H. Markram (Dir.) : Synaptic and Cellular Organization of Layer 1 of the Developing Rat Somatosensory Cortex. Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5902.
V. Delattre / H. Markram (Dir.) : 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 / H. Markram; S. L. Hill (Dir.) : 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 / H. Markram (Dir.) : Engineering Neuron Models. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5129.
G. Khazen / H. Markram (Dir.) : Predictive Engineering the Membrane Composition of Neocortical Neurons. Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5067.
M. A. Jan / H. Markram; F. Schürmann (Dir.) : 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 / H. Markram (Dir.) : Impact of Carbon-Nanotube Substrate Coating in Neuronal Networks. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4713.
R. d. C. Perin / H. Markram (Dir.) : Emergent Dynamics in Neocortical Microcircuits. Lausanne, EPFL, 2010. DOI : 10.5075/epfl-thesis-4705.
I. Riachi / H. Markram (Dir.) : 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.
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.

References: V. 

V. 

V. 

V. 
 V. 
 V. 
 V.