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Professor Henry Markram Founder & Director EPFL Blue Brain Project/ Coordinator of Human Brain Project

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Professor Henry Markram / Bio

Henry Markram is a professor of neuroscience at the Swiss Federal Institute for Technology (EPFL). He is the founder of the Brain Mind Institute, founder and director of the Blue Brain Project, and the coordinator of the Human Brain Project, one of two ten-year one billion Euro Flagship Projects recently approved by the European Commission. After earning his PhD at the Weizmann Institute of Science, with distinction, he was a Fulbright scholar at the National Institutes of Health, and a Minerva Fellow at the Max Planck Institute for Medical Research. In 1995 he returned to the Weizmann Institute, becoming an associate professor in 2000. In 2002 he became a full professor at EPFL. Markram's research has focused on synaptic plasticity and the microcircuitry of the neocortex, in which he has discovered fundamental principles governing synaptic plasticity and the structural and functional organization of neural microcircuitry. Other key discoveries include the concept of Liquid Compuuting and the Intense World Theory of Autism. In 2005 he launched the Blue Brain Project to develop a data integration strategy for neuroscience. Markram has published more than one hundred papers and has one of the highest citation records in his area of research and stage of career. Since 2002, Markram has spearheaded Switzerland's ambition to become world leader in high performance computing and to prioritize simulation-based research; these fields are now two of the three national research priorities declared by the Swiss government. Markram is also co-founder of Frontiers (frontiersin.org), a new model for peer-reviewed open-access publishing.


 


Professor Henry Markram / Publications

2012
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, PNAS, Published online before print September 18, 2012, doi: 10.1073/pnas.1202128109.
S.Druckmann, S.Hill, F.Schürmann, H.Markram, I.Segev: A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis, Cereb. Cortex (2012), doi: 10.1093/cercor/bhs290.
A.Gidon and I.Segev: Principles governing the operation of synaptic inhibition in dendrites, NEURON, 2012 Jul 26;75(2):330-41.
S.Ramaswamy, S.L.Hill, J.G.King, F.Schürmann, Y.Wang, and H.Markram: Intrinsic Morphological Diversity of Thick-tufted Layer 5 Pyramidal Neurons Ensures Robust and Invariant Properties of in silico Synaptic Connections. J Physiol. 2012 Feb 15;590(Pt 4):737-52. Epub 2011 Nov 14.
Eilemann S, Bilgili A, Abdellah M, Hernando J, Makhinya M, Pajarola R, and Schürmann F (2012). Parallel Rendering on Hybrid Multi-GPU Clusters, EGPGV 2012.
Lasserre S., Hernando J., Hill S., Schuermann F., Anasagasti P.M., Jaoudé, G.A., Markram H. (2012), A Neuron Membrane Mesh Representation for Visualization of Electrophysiological Simulations, IEEE Transactions on Visualization and Computer Graphics, 18 (2): p. 214-217.
F.Tauheed, T.Heinis, F.Schürmann, H.Markram, A.Ailamaki: SCOUT: Prefetching of Latent Structure Following Queries, VLDB 2012.
 
2011
Druckmann S, Berger T, Hill S, Schuermann F, Markram H, Segev I. Revealing hidden dynamics of neurons,PNAS.
Michael Hines; Hubert Eichner; Felix Schuermann. Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. J. Computational Neuroscience.
Tauheed F, Biveinis L, Heinis T, Schuermann F, Markram H, Ailamaki A. Speeding Up Range Queries for Brain Simulations, submitted to Conference on Very Large Data Bases, VLDB 2011.
H.Markram, and R.Perin: Innate neural assemblies for lego memory, Frontiers in Neural Circuits, 2011; 5:6, Epub 2011 May 16
S.Druckmann, T.Berger, F.Schürmann, S.Hill, H.Markram, and I.Segev: Effective Stimuli for Constructing Reliable Neuron Models, PLoS Comp Biol, 7(8): e1002133. doi:10.1371/ journal.pcbi.1002133
E.Hay, S.Hill, F.Schürmann, H.Markram and I.Segev: Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties, PLoS Comp Biol, 7(7): e1002107. doi:10.1371/journal.pcbi.1002107
S.Romand, Y.Wang, M.Toledo-Rodriguez, and H.Markram: Morphological development of thick-tufted layer v pyramidal cells in the rat somatosensory cortex, Frontiers in Neuroanatomy. 2011 5:5, doi: 10.3389/fnana.2011.00005
R.Perin, TK.Berger, and H.Markram: A synaptic organizing principle for cortical neuronal groups, Proc Natl Acad Sci, 2011 Mar 7, epub ahead of print
CA.Anastassiou, R.Perin, H.Markram, and C.Koch: Ephaptic coupling of cortical neurons, Nature Neuroscience, 2011 Feb;14(2):217-23
S.Lasserre, J.Hernando, S.Hill, F.Schürmann, P. de Miguel Anasagasti, G.Abou Jaoudé, H.Markram: A Neuron Mesh Representation for Visualization of Electrophysiological Simulations, IEEE Transactions on Visualization and Computer Graphics, vol. 99, PrePrints, 2011
Markram H, Gerstner W and Sjöström PJ (2011) A history of spike-timing-dependent plasticity. Front. Syn. Neurosci. 3:4. doi: 10.3389/fnsyn.2011.00004
 
2010
H.Anwar, I.Riachi, S.Hill, F.Schürmann, H.Markram: An Approach to Capturing Neuron Morphological Diversity. Computational Modeling Methods for Neuroscientists, E. de Schutter (ed), MIT Press, 2010
H.Markram, Handbook of Brain Microcircuits, G. Shepherd, S Grillner (eds), Oxford University Press, 2010
TK.Berger, G.Silberberg, R.Perin, and H.Markram: Brief bursts self-inhibit and correlate the pyramidal network, PLoS Biol. 2010 Sep 7;8(9)
Markram K and Markram H (2010) The Intense World Theory – a unifying theory of the neurobiology of autism. Front. Hum. Neurosci. 4:224. doi: 10.3389/fnhum.2010.00224, 2010
Gambazzi L, Gokce O, Seredenina T, Katsyuba E, Runne H, Markram H, Giugliano M, Luthi-Carter R. Diminished activity-dependent BDNF expression underlies cortical neuron microcircuit hypoconnectivity resulting from exposure to mutant huntingtin fragments,J Pharmacol Exp Ther, 2010 Jul 12. [Epub ahead of print].
Anwar H, Riachi I, Hill S, Schürmann F, Markram H. An Approach to Capturing Neuron Morphological Diversity. In Computational Modeling Methods for Neuroscientists, E. de Schutter (ed), MIT Press, 2010
 
2009
A.Loebel, G.Silberberg, D.Helbig, H.Markram, M.Tsodyks, MJ.Richardson:Multiquantal release underlies the distribution of synaptic efficacies in the neocortex, Frontiers in Computational Neuroscience. 2009; 3:27
TK.Berger, R.Perin, G.Silberberg, and H.Markram: Frequency-dependent disynaptic inhibition in the pyramidal network: a ubiquitous pathway in the developing rat neocortex, J Physiol. 2009 Nov 15;587(Pt 22):5411-25
J.G.King, M.Hines, S.Hill, P.H.Goodman, H.Markram, F.Schürmann:A component-based extension framework for large-scale parallel simulations in NEURON, Frontiers in Neuroinformatics, 3:10, doi:10.3389/neuro.11.010.2009
Loebel A, Silberberg G, Helbig D, Markram H, Tsodyks M, Richardson MJ. Multiquantal release underlies the distribution of synaptic efficacies in the neocortex.Frontiers in Computational Neuroscience. 2009;3:27. Epub 2009 Nov 24.
Berger TK, Perin R, Silberberg G, Markram H. Frequency-dependent disynaptic inhibition in the pyramidal network: a ubiquitous pathway in the developing rat neocortex.J Physiol. 2009 Nov 15;587(Pt 22):5411-25. Epub 2009 Sep 21.
Gawad S, Giugliano M, Heuschkel M, Wessling B, Markram H, Schnakenberg U, Renaud P, Morgan H. Substrate arrays of iridium oxide microelectrodes for in vitro neuronal interfacing.Front Neuroengineering. 2009;2:1. Epub 2009 Jan 22.
Cellot G, Cilia E, Cipollone S, Rancic V, Sucapane A, Giordani S, Gambazzi L, Markram H, Grandolfo M, Scaini D, Gelain F, Casalis L, Prato M, Giugliano M, Ballerini L., Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts,Nature Nanotechnolology. 2009 Feb; 4(2):126-33.
A Component-Based Extension Framework for Large-Scale Parallel Simulations, in NEURON, King JG, Hines M, Hill S, Goodman PH, Markram H, Schürmann F., Front Neuroinformatics. 2009;3:10. Epub 2009 Apr 27.
 
2008
Sucapane, A., Cellot, G., Prato, M., Parpura, V., Giugliano, M., Ballerini, L. (2008) Nano-scale interactions between cultured neurons and carbon nanotubes (CNTs): novel substrates for interfacing adhesion, growth and electrical activity of brain circuits.J. Nanoneuroscience, Vol. 1, 1-7.
Michael Hines, Henry Markram and Felix Schürmann (2008) Fully Implicit Parallel Simulation of Single Neurons,J. Computational Neuroscience, Volume 25, Number 3, 439-448.
Köndgen, H., Geisler, C., Fusi, S., X.-J. Wang, Lüscher, H.-R., Giugliano, M. (2008) The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro.Cerebral Cortex,18 (9):2086-2097.
J.Kozloski, K.Sfyrakis, S.Hill, F.Schürmann, C.Peck, H.Markram: Identifying, tabulating, and analyzing contacts between branched neuron morphologies, IBM Journal of Research and Development, Vol 52, Number 1/2, 2008
M.Hines, H.Eichner, F.Schürmann: Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors, J. Comput. Neurosci., 25(1):203-10, 2008
M.Hines, H.Markram, F.Schürmann: Fully Implicit Parallel Simulation of Single Neurons, J. Comput. Neurosci., 25(3):439-48, 2008
S.Druckmann, T.Berger, S.Hill, F.Schürmann, H.Markram, I.Segev: Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data, Biol Cybern, 99(4-5):371-9, 2008
C.Calì, TK.Berger, M.Pignatelli, A.Carleton, H.Markram, M.Giugliano: Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis, J Comput Neurosci. 2008 Jun;24(3):330-45. Epub 2007 Nov 28.
O.Melamed, O.Barak, G.Silberberg, H.Markram, M.Tsodyks: Slow oscillations in neural networks with facilitating synapses, J Comput Neurosci. 2008 Oct;25(2):308-16.
GA.Ascoli, Alonso-Nanclares L, Anderson SA, Barrionuevo G, Benavides-Piccione R, Burkhalter A, Buzsáki G, Cauli B, Defelipe J, Fairén A, Feldmeyer D, Fishell G, Fregnac Y, Freund TF, Gardner D, Gardner EP, Goldberg JH, Helmstaedter M, Hestrin S, Karube F, Kisvárday ZF, Lambolez B, Lewis DA, Marin O, Markram H, Muñoz A, Packer A, Petersen CC, Rockland KS, Rossier J, Rudy B, Somogyi P, Staiger JF, Tamas G, Thomson AM, Toledo-Rodriguez M, Wang Y, West DC, Yuste R.: Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex, Nature Reviews Neuroscience. 2008 Jul;9(7):557-68
Pospischil M, Toledo-Rodriguez M, Monier C, Piwkowska Z, Bal T, Frégnac Y, Markram H, Destexhe A, Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biol Cybern. 2008 Nov; 99(4-5):427-41. Epub 2008 Nov 15
Druckmann S, Berger TK, Hill S, Schürmann F, Markram H, Segev I., Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data.Biol Cybern. 2008 Nov;99(4-5):371-9. Epub 2008 Nov 15.
Petilla Interneuron Nomenclature Group, Ascoli GA, Alonso-Nanclares L, Anderson SA, Barrionuevo G, Benavides-Piccione R, Burkhalter A, Buzsáki G, Cauli B, Defelipe J, Fairén A, Feldmeyer D, Fishell G, Fregnac Y, Freund TF, Gardner D, Gardner EP, Goldberg JH, Helmstaedter M, Hestrin S, Karube F, Kisvárday ZF, Lambolez B, Lewis DA, Marin O, Markram H, Muñoz A, Packer A, Petersen CC, Rockland KS, Rossier J, Rudy B, Somogyi P, Staiger JF, Tamas G, Thomson AM, Toledo-Rodriguez M, Wang Y, West DC, Yuste R., Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex, Nature Reviews Neuroscience. 2008 Jul;9(7):557-68.
Melamed O, Barak O, Silberberg G, Markram H, Tsodyks M., Slow oscillations in neural networks with facilitating synapses,J Comput Neurosci. 2008 Oct;25(2):308-16. Epub 2008 May 16.
J. Kozloski, K. Sfyrakis, S. Hill, F. Schurmann & H. Markram (2007) Identifying, tabulating, and analyzing contacts between branched neuron morphologies.IBM J. RES. & DEV. VOL. 52 NO. 1/2 2008
 
2007
Calì C, Berger TK, Pignatelli M, Carleton A, Markram H, Giugliano M. Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis.J Comput Neurosci. 2007 Nov 28; [Epub ahead of print]
G.Silberberg and H.Markram: Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells, Neuron. 2007 Mar 1;53(5):735-46.
H.Markram: Bioinformatics: industrializing neuroscience. Nature. 2007 Jan 11; 445 (7124): 160-1.
A.Abid, A.Jan, L.Francioli, K.Sfyrakis, and F.Schürmann: Keyword Based Indexing and Searching over Storage Resource Broker. OTM Conferences, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4804 Springer 2007, ISBN 978-3-540-76835-7, pp. 1233-43
S.Druckmann, Y.Banitt, A.Gidon, F.Schürmann, H.Markram, and I.Segev: A Novel Multiple Objective Optimization Framework for Constraining Conductance-Based Neuron Models by Experimental Data, Frontiers in Neuroscience, Vol. 1, Issue 1, 2007
Rinaldi T, Kulangara K, Antoniello K, Markram H. 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 Aug 14;104(33):13501-6. Epub 2007 Aug 3.
Mazzatenta A, Giugliano M, Campidelli S, Gambazzi L, Businaro L, Markram H, Prato M, Ballerini L. Interfacing neurons with carbon nanotubes: electrical signal transfer and synaptic stimulation in cultured brain circuits.J Neurosci. 2007 Jun 27;27(26):6931-6.
Markram K, Rinaldi T, Mendola DL, Sandi C, Markram H. Abnormal Fear Conditioning and Amygdala Processing in an Animal Model of Autism.Neuropsychopharmacology. 2007 May 16; [Epub ahead of print]
Silberberg G, Markram H. Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells.Neuron. 2007 Mar 1;53(5):735-46.
Le Bé JV, Silberberg G, Wang Y, Markram H. Morphological, electrophysiological, and synaptic properties of corticocallosal pyramidal cells in the neonatal rat neocortex.Cereb Cortex. 2007 Sep;17(9):2204-13. Epub 2006 Nov 23.
Markram H., Rinaldi T., Markram K. The Intense World Syndrome – an alternative hypothesis for Autism.Frontiers in Neuroscience, 1,1:77-96, 2007.
Shaul Druckmann, Yoav Banitt, Albert Gidon, Felix Schurmann, Henry Markram and Idan Segev A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data.Frontiers in Neuroscience, 1,1:7-18, 2007.
Haroon Anwar, Imad Riachi, Sean Hill, Felix Schürmann and Henry Markram An approach to capturing neuron morphological diversity. Neuronal Modeling. MIT Press. (E. DeSchutter, Ed.). 2007.
Markram H. Bioinformatics: industrializing neuroscience.Nature. 2007 Jan 11; 445 (7124): 160-1.
Arsiero, M., Luscher, H-R., Lundstrom, B.N., and Giugliano, M (2007). The Impact of Input Fluctuations on the Frequency-Current Relationships of Layer 5 Pyramidal Neurons in the Rat Medial Prefrontal Cortex, Journal of Neuroscience, 27(12), 3274-84.
Mazzatenta, A., Giugliano, M., Campidelli, S., Gambazzi, L., Businaro, L., Markram, H., Prato, M., Ballerini, L. (2007). Interfacing Neurons with Carbon Nanotubes: Electrical Signal Transfer and Synaptic Stimulation in Cultured Brain Circuits,Journal of Neuroscience, 27(26), 6931-6.
Arsiero, M., Lüscher, H.-R. and Giugliano, M. (2007). Real-time Closed-Loop Electrophysiology: towards new frontiers in in vitro investigations in the Neurosciences.Arch. Ital. Biol., 145(3-4):193-209.
JV.Le Bé, G.Silberberg, Y.Wang, and H.Markram: Morphological, electrophysiological, and synaptic properties of corticocallosal pyramidal cells in the neonatal rat neocortex, Cereb Cortex, 2007 Sep;17(9):2204-13.
 
2006
Migliore M, Cannia C, Lytton WW, Markram H, Hines ML. Parallel network simulations with Neuron. J Comput Neurosci. 2006 Oct;21(2):119-29. Epub 2006 May 26.
Le Bé JV, Markram H. A new mechanism for memory: neuronal networks rewiring in the young rat neocortexMed Sci (Paris). 2006 Dec;22(12):1031-3. French.
M.Migliore, C.Cannia, W.W.Lytton, H.Markram, and M.L.Hines: Parallel network simulations with NEURON, J Comput Neurosci. 2006 Oct;21(2):119-29.
Y.Wang, H.Markram, PH.Goodman, TK.Berger , J.Ma PS.Goldman-Rakic: Heterogeneity in the pyramidal network of the medial prefrontal cortex, Nature Neuroscience 2006 Apr;9(4):534-42.
JV.Le Bé and H.Markram: Spontaneous and evoked synaptic rewiring in the neonatal neocortex, Proc Natl Acad Sci U S A. 2006 Aug 29;103(35):13214-9.
Markram H. The Blue Brain Project. Nature Reviews Neuroscience 2006 7(2):153-60.
Wang Y, Markram H, Goodman PH, Berger TK, Ma J, Goldman-Rakic PS. Heterogeneity in the pyramidal network of the medial prefrontal cortex.Nature Neuroscience. 2006 Apr;9(4):534-42.
Migliore M, Cannia C, Lytton WW, Markram H, Hines ML. Parallel network simulations with NEURON.J Comput Neurosci. 2006 Oct;21(2):119-29.
Le Be JV, Markram H. Spontaneous and evoked synaptic rewiring in the neonatal neocortex. Proc Natl Acad Sci U S A. 2006 Aug 29;103(35):13214-9.
Berger T., Luscher, H-R and Guiliano, M (2006) Transient Rhythmic Activity in the Somatosensory Cortex Evoked by Distributed Input in vitro.Neuroscience 140(4), 1401-13.
 
2005
G.Khazen, S.Hill, F.Schürmann, and H.Markram: Combinatorial Expression Rules of Ion Channel Genes in Juvenile Rat (Rattus norvegicus) Neocortical Neurons,PLoS One,in review
R.Ranjan, S.Hill, F.Schürmann, and H.Markram: High-throughput Screening and Model Generation of Genetically Prescribed Voltage-Gated Ion Channels, Neuroinformatics, in review
M.Hines, S.Kumar, and F.Schürmann: Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer, Frontiers in Neuroinformatics,in review
M.A.Jan, H.Markram: NEOBASE: Databasing the Neocortical Microcircuit, Stud Health Technol Inform. 2005;112:167-77.
Peer-Reviewed Articles
Kalisman N, Silberberg G, Markram H. The neocortical microcircuit as a tabula rasa.Proc Natl Acad Sci USA. 2005 Jan 18;102(3):880-5.
Silberberg G, Grillner S, LeBeau FE, Maex R, Markram H. Synaptic pathways in neural microcircuits.Trends Neurosci. 2005 10:541-51.
Muhammad AJ, Markram H. NEOBASE: Databasing the Neocortical Microcircuit.Stud Health Technol Inform. 2005;112:167-77.
Richardson MJ, Melamed O, Silberberg G, Gerstner W, Markram H. Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts.J Comput Neurosci. 2005 Jun;18(3):323-31.
Grillner S, Markram H, De Schutter E, Silberberg G, LeBeau FE. Microcircuits in action--from CPGs to neocortex.Trends Neurosci. 2005 10:525-33.
Toledo-Rodriguez M, Goodman P, Illic M, Wu C, Markram H. Neuropeptide and calcium-binding protein gene expression profiles predict neuronal anatomical type in the juvenile rat.J Physiol. 2005 567:401-13.
2004
Peer-Reviewed Articles
Melamed O, Gerstner W, Maass W, Tsodyks M, Markram H. Coding and learning of behavioral sequences.Trends Neurosci. 2004, 27(1): 11-4.
Toledo-Rodriguez M, Blumenfeld B, Wu C, Luo J, Attali B, Goodman P, Markram H. Correlation maps allow neuronal electrical properties to be predicted from single-cell gene expression profiles in rat neocortex.Cereb Cortex. 2004 Dec;14(12):1310-27
Markram H, Toledo-Rodriguez M, Wang Y, Gupta A, Silberberg G, Wu C. Interneurons of the neocortical inhibitory system.Nat Rev Neurosci. 2004 Oct;5(10):793-807.
Monyer H, Markram H. Interneuron Diversity series: Molecular and genetic tools to study GABAergic interneuron diversity and function.Trends Neurosci. 2004 Feb;27(2):90-7.
Wang Y, Toledo-Rodriguez M, Gupta A, Wu C, Silberberg G, Luo J, Markram H. Anatomical, physiological and molecular properties of Martinotti cells in the somatosensory cortex of the juvenile rat.J Physiol. 2004 Nov 15;561:65-90.
Silberberg G, Wu C, Markram H. Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit.J Physiol. 2004 Apr 1;556:19-27.
Maass W, Natschlager T, Markram H. Fading memory and kernel properties of generic cortical microcircuit models.J Physiol Paris. 2004 (4-6):315-30.
Giugliano M, Darbon P, Arsiero M, Luscher HR, Streit J (2004). Single-neuron discharge properties and network activity in dissociated cultures of neocortex.Neurophysiol. 92(2):977-96.
2003
Peer-Reviewed Articles
Kalisman N, Silberberg G, Markram H. Deriving physical connectivity from neuronal morphology.Biological Cybernetics. 2003, 88(3): 210-8.
R. A. Legenstein, H. Markram, and W. Maass. Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons.Reviews in the Neurosciences, 14(1-2):5-19, 2003
S. Häusler, H. Markram, and W. Maass. Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts.Complexity, 8(4):39-50, 2003.
Peer-Reviewed Chapters
W. Maass and H. Markram. Temporal integration in recurrent microcircuits. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 1159-1163. MIT Press (Cambridge), 2nd edition, 2003.
Toledo M, Silberberg G, Gupta A and H. Markram. Temporal integration in recurrent microcircuits. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 859-863. MIT Press (Cambridge), 2nd edition, 2003.
W. Maass, T. Natschläger, and H. Markram. Computational models for generic cortical microcircuits. In J. Feng, editor, Computational Neuroscience: A Comprehensive Approach, Chapter 18. CRC-Press, 2003.
2002
Peer-Reviewed Articles
W. Maass, T. Natschläger, and H. Markram. A model for real-time computation in generic neural microcircuits. In S. Becker, S. Thrun, and K. Obermayer, editors, Proc. of NIPS 2002, Advances in Neural Information Processing Systems, 15, 229-236, 2002.
W. Maass, T. Natschläger, and H. Markram. Real-time computing without stable states: A new framework for neural computation based on perturbations.Neural Computation, 14(11):2531-2560, 2002.
Silberberg G, Gupta A, Markram H. Stereotypy in neocortical microcircuits. Trends in Neuroscience. 2002 May;25(5):227-30.
Wang Y, Gupta A, Toledo-Rodriguez M, Wu CZ, Markram H. Anatomical, physiological, molecular and circuit properties of nest basket cells in the developing somatosensory cortex.Cerebral Cortex. 2002 Apr;12(4):395-410.
Linden JF, Markram H. Cerebral Cortex. 2002 Jan;13(1):1-3.
Fuhrmann G, Segev I, Markram H, Tsodyks M. Coding of temporal information by activity-dependent synapses.Journal of Neurophysiology 2002 Jan;87(1):140-8.
W. Maass, T. Natschläger, and H. Markram. A model for real-time computation in generic neural microcircuits. Proc. of NIPS 2002, Advances in Neural Information Processing Systems, 15, 2002.
W. Maass. Computing with spikes.Special Issue on Foundations of Information. Processing of Telematik, 8(1):32-36, 2002.
Peer-Reviewed Chapters
W. Maass, R. A. Legenstein, and H. Markram. A new approach towards vision suggested by biologically realistic neural microcircuit models. In H. H. Buelthoff, S. W. Lee, T. A. Poggio, and C. Wallraven, editors, Biologically Motivated Computer 43. Vision. Proc. of the Second International Workshop, BMCV 2002, Tübingen, Germany, November 22-24, 2002, volume 2525. Lecture Notes in Computer Science, pages 282-293. Springer (Berlin), 2002.
 T. Natschläger, W. Maass, and H. Markram. The "liquid computer": A novel strategy for real-time computing on time series. Special Issue on Foundations of Information. Processing of Telematik, 8(1):39-43, 2002.
T. Natschläger, H. Markram, and W. Maass. Computer models and analysis tools for neural microcircuits. In R. Kötter, editor, Neuroscience Databases. A Practical Guide, chapter 9, pages 123-138. Kluwer Academic Publishers (Boston), 2002.
 
Publications before 2002
Markram, H & Segal, M (1990). Electrophysiological characteristics of cholinergic and non-cholinergic neurons in the rat medial septum-diagonal band complex.Brain Research 513; 171-174.
Markram, H & Segal, M (1990). Regional changes in NGF receptor immunohistochemical labeling in the septum of the aged rat.Neurobiology of Aging 11; 481-484.
Markram, H & Segal, M (1990). Acetylcholine potentiates neuronal responses to N-methyl-D-aspartate in the rat hippocampus.Neuroscience Letters 113; 62-65.
Markram, H & Segal, M (1990). Long-lasting facilitation of excitatory postsynaptic potentials in the rat hippocampus by acetylcholine.Journal of Physiology (Lond.) 427; 381-393.
Segal, M., Greenberger, V & Markram, H (1990). Presynaptic cholinergic action in the hippocampus. In "Central cholinergic synaptic transmission", Eds M. Frotscher & U. Misgeld. Pg 88-103.
Markram, H & Segal, M (1991). Calcimycin potentiates responses of rat hippocampal neurons to N-methyl-D-aspartate.Brain Research, 540; 322-324.
Segal, M., Richter-Levin, G & Markram, H (1991). Cholinergic-serotonin interactions and cognitive functions of the hippocampus. Hoechst Symposium on Learning and memory, Elsevier.
Segal, M., Richter-Levin, G & Markram, H (1991). Functional changes in the aged septo-hippocampal system: Behavioral, Physiological and morphological considerations. The sixth meeting of the International study group on The pharmacology of memory disorders associated with aging, Elsevier.
Segal, M., Markram, H & Richter-Levin, G (1992). Actions of norepinephrine in the rat hippocampus.Progress in Brain Research, 80; 323-330.
Markram, H & Segal, M (1992). Cholinergic potentiation of hippocampal neuronal responses to NMDA is mediated by inositol 1,4,5-trisphosphate.Journal of Physiology (Lond.) 447; 513-533.
Markram, H & Segal, M (1992). Activation of Protein Kinase C suppresses responses to NMDA in rat CA1 Hippocampal neurons.Journal of Physiology (Lond.), 457; 491-501.
Richter-Levin, G., Markram, H & Segal, M (1992). Spontaneous recovery of deficits in spatial memory and cholinergic potentiation of NMDA in CA1 neurons during chronic lithium treatment.Hippocampus, 2; 279-286.
Markram, H. &. Sakmann, B. (1994). Calcium transients in apical dendrites evoked by single sub-threshold excitatory post-synaptic potentials via low voltage-activated calcium channels.Proceedings of the National Academy of Sciences of the USA, 91; 5207-5211.
Markram, H., Sakmann, B. & Helm, P.J. (1994). Dendritic action potentials trigger discrete calcium transients through multiple calcium channel-types in rat layer V neocortical cells, in vitro.The Journal of Physiology (Lond.), 475.
Markram, H., Helm, P.J. & Sakmann, B. (1995). Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons.Journal of Physiology (Lond.), 485; 1-20.
Lubke, J., Markram, H., Frotscher, M. & Sakmann, B. (1996). Frequency, number and dendritic distribution of autapses established by layer 5 pyramidal neurons in the neocortex: Comparison with synaptic innervation of neighboring neurons of the same class.Journal of Neuroscience, 16(10); 3209-3218
Markram, H & Tsodyks, M. (1996). Redistribution of Synaptic Efficacy Between Neocortical Pyramidal Neurons.Nature, 382; 807-810.
Markram, H & Tsodyks, M. (1996). Redistribution of Synaptic Efficacy: A mechanism to generate infinite synaptic input diversity from a homogenous population of neurons without changing absolute synaptic efficacies.Journal of Physiology (Paris), 90; 229-232.
Tsodyks, M. & Markram, H. (1996) Plasticity of neocortical synapses enables transitions between rate and temporal coding.Lecture Notes in Computational Science, 96; 445-450.
Tsodyks, M. & Markram, H. (1997) The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability.Proceedings of the National Academy of Sciences of the USA, 94; 719-723.
Gerstner, W., Kreiter, A.K., Markram, H. & Herz, A.V.M. (1997) Neuronal codes: Firing rates and beyond.Proceedings of the National Academy of Sciences of the USA, 94; 12740-12741.
Markram, H., Lubke, J., Frotscher, M. & Sakmann, B (1997) Regulation of synaptic efficacy by coindence of postsynaptic APs and EPSPs.Science, 275; 213-215.
Markram, H., Lubke, J., Frotscher, M., Roth, A., & Sakmann, B (1997) Physiology and anatomy of synaptic connections between thik tufted pyramidal neurones in the developing rat neocortex.Journal of Physiology (Lond.), 500; 409-440.
Markram, H (1997) A network of tufted layer 5 pyramidal neurons.Cerebral Cortex 7; 523-533.
Markram, H (1997) Action potential encoding; a synaptic basis.Lecture Notes in Computational Science, 97; 13-24
Senn W, Tsodyks M & Markram H (1997) An algorithm for synaptic modification based on precise timing of pre and postsynaptic action potentials.Lecture Notes in Computational Science, 97; 121-126
Markram H, Wang Y, Tsodyks M (1998) Differential signalling via the same axon of neocortical pyramidal neurons.Proceedings of the National Academy of Sciences of the USA 95, 5323-5328.
Tsodyks M, Pawleslik K & Markram H (1998) Neural networks with dynamic synapses.Neural Computation, 10(4): 821-35
Markram H, Gupta A, Uziel A, Yung W & Tsodyks M. (1998) Information processing with frequency dependent synapses.Neurobiology of Learning and Memory. 70:101-112.
Markram, H., Roth, A. & Helmchen, F. (1998) Competitive Calcium Binding: Implications for Dendritic Calcium Signalling.Journal of Computational Neuroscience, 5, 331-348.
Markram H, Pikus D, Gupta A, Tsodyks M (1998b) Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses.NeuroPharmacology 37, 489-500.
Markram, H., Tsodyks, M. & Wang, Y (1998). Plasticity of Frequency Sensitive Synaptic Transmission. In “Synaptic Plasticity” (Eds, M Baudry, R. Thomson & J Davis).
Yun W, Gupta A & Markram H (1999) Anatomical and functional differentiation of glutamatergic synaptic innervation in the neocortex.Journal of Physiol (Paris), 93(4):305-17.
Gupta, A., Wang, Y & Markram, H. Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex.Science, (article) 2000, 287(5451):273-8.
Tsodyks M, Uziel A, Markram H Synchrony generation in recurrent networks with frequency-dependent synapses. Journal of Neuroscience 2000 Jan 1;20(1):50
W. Senn, H. Markram & M. Tsodyks. An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing.Neural Computation, 13: 35-67 (2001).
 
Publications from co-supervised Nestle Flavour Perception Group
Cali, C., Berger, T., Pignatelli, M., Carleton, A., Markram, H. and Giugliano, M. Inferring connectivity order in networks of electrically coupled cells by subthreshold frequency response analysis.Journal of Computational Neuroscience, in press.
Mercanzini, A., Cheung, K.C., Buhl, D.L., Boers, M., Maillard, A., Colin, P., Bensadoun, J.C., Bertsch, A., Carleton, A. and Renaud, P. Demonstration of cortical recording and reduced inflammatory response using flexible polymer neural probes.Proceedings of the 20th IEEE International Conference on MEMS (2007), Kobe, Japan, p. 573-576.
Berger, T., Borgdorff, A., Crochet, S., Neubauer, F.B., Lefort, S., Fauvet, B., Ferezou, I., Carleton, A., Luscher, H.-R. and Petersen, C.C.H. Combined voltage and calcium epifluorescence imaging in vitro and in vivo reveals subthreshold and suprathreshold dynamics of mouse barrel cortex.Journal of Neurophysiology (2007), 97: 3751-3762.
Accolla, R., Bathellier, B., Petersen, C.C.H. and Carleton, A. Differential spatial representation of taste modalities in the rat gustatory cortex.Journal of Neuroscience (2007), 27: 1396-1404.
Van De Ville, D., Bathellier, B., Carleton, A., Blu, T. and Unser M. Wavelet-based statistical analysis for optimal imaging in the mouse olfactory bulb.Proceedings of the Fourth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'07) (2007), Arlington VA, USA, April 12-15, p. 448-451.
Bathellier, B., Van de Ville, D., Blu, T., Unser, M. and Carleton, A. Wavelet-based multi-resolution statistics for optical imaging signals: application to automated detection of odour activated glomeruli in the mouse olfactory bulb.Neuroimage 34: 1020-1035. (2007),
Van De Ville, D., Bathellier, B., Accolla, R., Carleton, A., Blu, T. and Unser M. Wavelet-based detection of stimulus responses in time-lapse microscopy.Proceedings of the Thirty-First IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'06) (2006), Toulouse, France, May 14-19, p. V-1161-V-1164.
Palma, V., Lim, D.A., Dahmane, N., Sanchez, P., Brionne, T.C., Herzberg, C.D., Gitton, Y., Carleton, A., Alvarez-Buylla, A. and Ruiz I Altaba, A. Sonic hedgehog controls stem cell behavior in the postnatal and adult brain.Development (2005), 132:335-344.