Henry Markram
henry.markram@epfl.ch +41 21 693 95 36
+41 21 693 95 36
EPFL > SV > BMI > LNMC
Web site: Site web: https://markram-lab.epfl.ch
EPFL ENT-R BBP-CORE
Campus Biotech
Bâtiment B1
Ch. des Mines 9
CH-1202 Genève
+41 21 693 95 36
Local: B1 5 282.040
EPFL > ENT-R > BBP > BBP-CORE
Web site: Site web: https://www.epfl.ch/research/domains/bluebrain/
Publications
Publications Infoscience
Infoscience
J. S. Coggan; D. Keller; H. Markram; F. Schurmann; P. J. Magistretti : Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling; Journal Of Theoretical Biology. 2020-02-21. DOI : 10.1016/j.jtbi.2019.110123.
R. Ranjan; E. Logette; M. Marani; M. Herzog; V. Tache et al. : A Kinetic Map of the Homomeric Voltage-gated Potassium Channel (Kv) Family. 2020-02-07. 64th Annual Meeting of the Biophysical-Society, San Diego, CA, Feb 15-19, 2020. p. 108A-108A.
N. Barros-Zulaica; J. Rahmon; G. Chindemi; R. Perin; H. Markram et al. : Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex; Frontiers In Synaptic Neuroscience. 2019-10-15. DOI : 10.3389/fnsyn.2019.00029.
M. W. Reimann; M. Geyaert; Y. Shi; H. Lu; H. Markram et al. : A null model of the mouse whole-neocortex micro-connectome; Nature Communications. 2019-08-29. DOI : 10.1038/s41467-019-11630-x.
F. Casalegno; T. Newton; R. Daher; M. Abdelaziz; A. Lodi-Rizzini et al. : Caries Detection with Near-Infrared Transillumination Using Deep Learning; Journal of Dental Research. 2019-08-26. DOI : 10.1177/0022034519871884.
M. Nolte; M. W. Reimann; J. G. King; H. Markram; E. B. Muller : Cortical reliability amid noise and chaos; Nature Communications. 2019-08-22. DOI : 10.1038/s41467-019-11633-8.
R. Ranjan; E. Logette; M. Marani; M. Herzog; V. Tache et al. : A Kinetic Map of the Homomeric Voltage-Gated Potassium Channel (Kv) Family; Frontiers in Cellular Neuroscience. 2019-08-20. DOI : 10.3389/fncel.2019.00358.
D. Keller; J. Meystre; R. V. Veettil; O. Burri; R. Guiet et al. : A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex; Frontiers In Neuroanatomy. 2019-08-06. DOI : 10.3389/fnana.2019.00078.
E. Iavarone; J. Yi; Y. Shi; B.-J. Zandt; C. O'Reilly et al. : Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons; PLoS Computational Biology. 2019-05-16. DOI : 10.1371/journal.pcbi.1006753.
X. Fan; H. Markram : A Brief History of Simulation Neuroscience; Frontiers In Neuroinformatics. 2019-05-07. DOI : 10.3389/fninf.2019.00032.
C. Colangelo; P. Shichkova; D. Keller; H. Markram; S. Ramaswamy : Cellular, Synaptic and Network Effects of Acetylcholine in the Neocortex; Frontiers In Neural Circuits. 2019-04-12. DOI : 10.3389/fncir.2019.00024.
L. Kanari; S. Ramaswamy; Y. Shi; S. Morand; J. Meystre et al. : Objective Morphological Classification of Neocortical Pyramidal Cells; Cerebral Cortex. 2019-04-01. DOI : 10.1093/cercor/bhy339.
M. R. Favre; H. Markram; K. Markram : Individual differences in sensory sensitivity: Further lessons from an Autism model; Cognitive Neuroscience. 2019-03-30. DOI : 10.1080/17588928.2019.1592143.
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.
C. Eroe; M.-O. Gewaltig; D. Keller; H. Markram : A Cell Atlas for the Mouse Brain; Frontiers In Neuroinformatics. 2018-11-28. DOI : 10.3389/fninf.2018.00084.
D. Keller; C. Ero; H. Markram : Cell Densities in the Mouse Brain: A Systematic Review; Frontiers In Neuroanatomy. 2018-10-23. DOI : 10.3389/fnana.2018.00083.
S. Ramaswamy; C. Colangelo; H. Markram : Data-Driven Modeling of Cholinergic Modulation of Neural Microcircuits: Bridging Neurons, Synapses and Network Activity; Frontiers In Neural Circuits. 2018-10-09. DOI : 10.3389/fncir.2018.00077.
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.
H. Markram; E. B. Muller; S. L. Hill; F. Schuermann ; Reconstruction and simulation of neocortical microcircuitry. US2018101660 . 2018.
M. W. Reimann; M. C. Nolte; H. Markram; K. P. Hess Bellwald; R. Levi ; Generating and identifying functional subnetworks within structural networks. US2018197069 . 2018.
H. Markram; W. Gerstner; M.-O. Gewaltig; C. Rössert; E. B. Muller et al. ; Simplification of neural network models. US2018285716 . 2018.
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. 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.
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. 2016-06-09. 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. 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.
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.
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.
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; 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. US2019354841 ; US10387767 ; US10373048 ; KR101816329 ; DK2531959 ; EP2531959 ; CN102859538 ; JP5844286 ; US2015363689 ; JP2013519140 ; CN102859538 ; US2012323833 ; EP2531959 ; KR20120123698 ; WO2011095342 . 2011.
H. Markram ; Encoding and decoding of information. EP2460276 ; CN104901702 ; KR101734596 ; JP5848414 ; CN104901702 ; CN102648582 ; US8941512 ; JP2014209794 ; JP5587412 ; JP2013500660 ; US2012313798 ; US8253607 ; CN102648582 ; EP2460276 ; US2012119926 ; KR20120046760 ; US8159373 ; WO2011012614 ; WO2011012158 ; WO2011012614 ; US2011025532 . 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.
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.
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.
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.
Enseignement & Phd
Enseignement
Life Sciences Engineering