Morphology, physiology and synaptic connectivity of local interneurons in the mouse somatosensory thalamus
“Morphology, physiology and synaptic connectivity of local interneurons in the mouse somatosensory thalamus”, Jane Simko and Henry Markram, The Journal of Physiology, November 2021


A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

G. Chindemi; M. Abdellah; O. Amsalem; R. Benavides-Piccione; V. Delattre et al. 

Nature Communications. 2022-06-01. Vol. 13, num. 1, p. 3038. DOI : 10.1038/s41467-022-30214-w.


Morphology, physiology and synaptic connectivity of local interneurons in the mouse somatosensory thalamus

J. Simko; H. Markram 

Journal Of Physiology. 2021-10-23. Vol. 599, num. 22, p. 5085-5101. DOI : 10.1113/JP281711.


Impact of higher order network structure on emergent cortical activity

M. Nolte; E. Gal; H. Markram; M. W. Reimann 

Network Neuroscience. 2020-01-01. Vol. 4, num. 1, p. 292-314. DOI : 10.1162/netn_a_00124.


Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex

N. Barros-Zulaica; J. Rahmon; G. Chindemi; R. Perin; H. Markram et al. 

Frontiers In Synaptic Neuroscience. 2019-10-15. Vol. 11, p. 29. DOI : 10.3389/fnsyn.2019.00029.

Caries Detection with Near-Infrared Transillumination Using Deep Learning

F. Casalegno; T. Newton; R. Daher; M. Abdelaziz; A. Lodi-Rizzini et al. 

Journal of Dental Research. 2019-08-26.  p. 0022034519871884. DOI : 10.1177/0022034519871884.

A null model of the mouse whole-neocortex micro-connectome

M. W. Reimann; M. Geyaert; Y. Shi; H. Lu; H. Markram et al. 

Nature Communications. 2019-08-29. Vol. 10, p. 3903. DOI : 10.1038/s41467-019-11630-x.

Objective Morphological Classification of Neocortical Pyramidal Cells

L. Kanari; S. Ramaswamy; Y. Shi; S. Morand; J. Meystre et al. 

Cerebral Cortex. 2019-04-01. Vol. 29, num. 4, p. 1719-1735. DOI : 10.1093/cercor/bhy339.

Cortical reliability amid noise and chaos

M. Nolte; M. W. Reimann; J. G. King; H. Markram; E. B. Muller 

Nature Communications. 2019-08-22. Vol. 10, p. 3792. DOI : 10.1038/s41467-019-11633-8.

A Kinetic Map of the Homomeric Voltage-Gated Potassium Channel (Kv) Family

R. Ranjan; E. Logette; M. Marani; M. Herzog; V. Tache et al. 

Frontiers in Cellular Neuroscience. 2019-08-20. Vol. 13, p. 358. DOI : 10.3389/fncel.2019.00358.

A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex

D. Keller; J. Meystre; R. V. Veettil; O. Burri; R. Guiet et al. 

Frontiers In Neuroanatomy. 2019-08-06. Vol. 13, p. 78. DOI : 10.3389/fnana.2019.00078.

Individual differences in sensory sensitivity: Further lessons from an Autism model

M. R. Favre; H. Markram; K. Markram 

Cognitive Neuroscience. 2019-03-30. Vol. 10, num. 3, p. 171-173. DOI : 10.1080/17588928.2019.1592143.

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

E. Iavarone; J. Yi; Y. Shi; B-J. Zandt; C. O’Reilly et al. 

PLoS Computational Biology. 2019-05-16. Vol. 15, num. 5, p. e1006753. DOI : 10.1371/journal.pcbi.1006753.

Corrigendum: A Cell Atlas for the Mouse Brain

C. Ero; M-O. Gewaltig; D. Keller; H. Markram 

Frontiers In Neuroinformatics. 2019-02-19. Vol. 13, p. 7. DOI : 10.3389/fninf.2019.00007.


A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

J. S. Coggan; C. Cali; D. Keller; M. Agus; D. Boges et al. 

Frontiers In Neuroscience. 2018-09-25. Vol. 12, p. 664. DOI : 10.3389/fnins.2018.00664.

Data-Driven Modeling of Cholinergic Modulation of Neural Microcircuits: Bridging Neurons, Synapses and Network Activity

S. Ramaswamy; C. Colangelo; H. Markram 

Frontiers In Neural Circuits. 2018-10-09. Vol. 12, p. 77. DOI : 10.3389/fncir.2018.00077.

A Cell Atlas for the Mouse Brain

C. Eroe; M-O. Gewaltig; D. Keller; H. Markram 

Frontiers In Neuroinformatics. 2018-11-28. Vol. 12, p. 84. DOI : 10.3389/fninf.2018.00084.

NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks

M. Abdellah; J. Hernando; S. Eilemann; S. Lapere; N. Antille et al. 

BIOINFORMATICS. 2018. Vol. 34, num. 13, p. 574-582. DOI : 10.1093/bioinformatics/bty231.


On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

M. Vegue; R. Perin; A. Roxin 

Journal Of Neuroscience. 2017. Vol. 37, num. 35, p. 8498-8510. DOI : 10.1523/Jneurosci.0984-17.2017.

Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity

M. W. Reimann; A-L. Horlemann; S. Ramaswamy; E. B. Muller; H. Markram 

Cerebral Cortex. 2017. Vol. 27, num. 9, p. 4570-4585. DOI : 10.1093/cercor/bhx150.

Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function

M. W. Reimann; M. Nolte; M. Scolamiero; K. Turner; R. Perin et al. 

Frontiers In Computational Neuroscience. 2017. Vol. 11, p. 48. DOI : 10.3389/fncom.2017.00048.

Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation

M. Abdellah; A. Bilgili; S. Eilemann; J. Shillcock; H. Markram et al. 

Bmc Bioinformatics. 2017. Vol. 18, p. 62. DOI : 10.1186/s12859-016-1444-4.


From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells

O. Amsalem; W. Van Geit; E. Muller; H. Markram; I. Segev 

Cerebral Cortex. 2016-06-09. Vol. 26, num. 8, p. 3655-3668. DOI : 10.1093/cercor/bhw166.

Tight Coupling of Astrocyte pH Dynamics to Epileptiform Activity Revealed by Genetically Encoded pH Sensors

J. V. Raimondo; H. Tomes; A. Irkle; L. Kay; L. Kellaway et al. 

Journal Of Neuroscience. 2016. Vol. 36, num. 26, p. 7002-7013. DOI : 10.1523/Jneurosci.0664-16.2016.


An algorithm to predict the connectome of neural microcircuits

M. W. Reimann; J. G. King; E. B. Muller; S. Ramaswamy; H. Markram 

Frontiers In Computational Neuroscience. 2015. Vol. 9, p. 120. DOI : 10.3389/fncom.2015.00120.

An Exclusion Zone for Ca2+ Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse

D. Keller; N. Babai; O. Kochubey; Y. Han; H. Markram et al. 

PLoS computational biology. 2015. Vol. 11, num. 5, p. e1004253. DOI : 10.1371/journal.pcbi.1004253.

Network-timing-dependent plasticity

V. Delattre; D. Keller; M. Perich; H. Markram; E. B. Muller 

Frontiers in cellular neuroscience. 2015. Vol. 9, p. 220. DOI : 10.3389/fncel.2015.00220.

Predictable enriched environment prevents development of hyper-emotionality in the VPA rat model of autism

M. R. Favre; D. La Mendola; J. Meystre; D. Christodoulou; M. Cochrane et al. 

Frontiers in Neuroscience. 2015. Vol. 9, num. 127, p. 127. DOI : 10.3389/fnins.2015.00127.

Cell-type- and activity-dependent extracellular correlates of intracellular spiking

C. Anastassiou; R. d. C. Perin; G. Buzsaki; H. Markram; C. Koch 

Journal of Neurophysiology. 2015. Vol. 114, num. 1, p. 608-23. DOI : 10.1152/jn.00628.2014.

A versatile clearing agent for multi-modal brain imaging

I. Costantini; J-P. Ghobril; A. P. Di Giovanna; A. L. A. Mascaro; L. Silvestri et al. 

Scientific Reports. 2015. Vol. 5, num. 9808, p. 1-9. DOI : 10.1038/srep09808.

Anti-Obesity and Anti-Hyperglycemic Effects of Cinnamaldehyde via altered Ghrelin Secretion and Functional impact on Food Intake and Gastric Emptying

S. Camacho; S. Michlig; C. De Senarclens-Bezencon; J. Meylan; J. Meystre et al. 

Scientific Reports. 2015. Vol. 5, p. 7919. DOI : 10.1038/srep07919.


A computer-assisted multi-electrode patch-clamp system

R. Perin; H. Markram 

Journal of visualized experiments : JoVE. 2013. num. 80, p. e50630. DOI : 10.3791/50630.

A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis

S. Druckmann; S. Hill; F. Schuermann; H. Markram; I. Segev 

Cerebral Cortex. 2013. Vol. 23, num. 12, p. 2994-3006. DOI : 10.1093/cercor/bhs290.

Nlgn4 knockout induces network hypo-excitability in juvenile mouse somatosensory cortex in vitro

V. Delattre; D. La Mendola; J. Meystre; H. Markram; K. Markram 

Scientific Reports. 2013. Vol. 3, p. 2897. DOI : 10.1038/srep02897.

General developmental health in the VPA-rat model of autism

M. R. Favre; T. R. Barkat; D. Lamendola; G. Khazen; H. Markram et al. 

Frontiers In Behavioral Neuroscience. 2013. Vol. 7, p. 88. DOI : 10.3389/fnbeh.2013.00088.

A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents

M. W. Reimann; C. A. Anastassiou; R. Perin; S. L. Hill; H. Markram et al. 

Neuron. 2013. Vol. 79, num. 2, p. 375-390. DOI : 10.1016/j.neuron.2013.05.023.

Preserving axosomatic spiking features despite diverse dendritic morphology

E. Hay; F. Schuermann; H. Markram; I. Segev 

Journal Of Neurophysiology. 2013. Vol. 109, num. 12, p. 2972-2981. DOI : 10.1152/jn.00048.2013.

Computing the size and number of neuronal clusters in local circuits

R. Perin; M. Telefont; H. Markram 

Frontiers In Neuroanatomy. 2013. Vol. 7, p. 1. DOI : 10.3389/fnana.2013.00001.

Matched Pre- and Post-Synaptic Changes Underlie Synaptic Plasticity over Long Time Scales

A. Loebel; J-V. Le Be; M. J. E. Richardson; H. Markram; A. V. M. Herz 

Journal Of Neuroscience. 2013. Vol. 33, num. 15, p. 6257-6266. DOI : 10.1523/Jneurosci.3740-12.2013.

One minute with … Henry Markram

J. Griggs; H. Markram 

New Scientist. 2013. Vol. 217, num. 2903, p. 29-29.


Single-cell RT-PCR, a technique to decipher the electrical, anatomical, and genetic determinants of neuronal diversity

M. Toledo-Rodriguez; H. Markram 

Methods in molecular biology (Clifton, N.J.). 2014. Vol. 1183, p. 143-58. DOI : 10.1007/978-1-4939-1096-0_8.

The death of Cajal and the end of scientific romanticism and individualism

J. Defelipe; E. Garrido; H. Markram 

Trends In Neurosciences. 2014. Vol. 37, num. 10, p. 525-527. DOI : 10.1016/j.tins.2014.08.002.

Dampened neural activity and abolition of epileptic-like activity in cortical slices by active ingredients of spices

M. Pezzoli; A. Elhamdani; S. Camacho; J. Meystre; S. M. Gonzalez et al. 

Scientific Reports. 2014. Vol. 4, p. 6825. DOI : 10.1038/srep06825.

Synaptic and cellular organization of layer 1 of the developing rat somatosensory cortex

S. Muralidhar; Y. Wang; H. Markram 

Frontiers In Neuroanatomy. 2014. Vol. 7, p. 52. DOI : 10.3389/fnana.2013.00052.


Presynaptic cholinergic action in the hippocampus

M. Segal; V. Greenberger; H. Markram 

EXS. 1989. Vol. 57, p. 88-96.


Electrophysiological characteristics of cholinergic and non-cholinergic neurons in the rat medial septum-diagonal band complex

H. Markram; M. Segal 

Brain research. 1990. Vol. 513, num. 1, p. 171-174. DOI : 10.1016/0006-8993(90)91106-Q.

Acetylcholine potentiates responses to N-methyl-D-aspartate in the rat hippocampus

H. Markram; M. Segal 

Neuroscience letters. 1990. Vol. 113, num. 1, p. 62-5.

Regional changes in NGF receptor immunohistochemical labeling in the septum of the aged rat

H. Markram; M. Segal 

Neurobiology of aging. 1990. Vol. 11, num. 4, p. 481-484. DOI : 10.1016/0197-4580(90)90017-T.

Long-lasting facilitation of excitatory postsynaptic potentials in the rat hippocampus by acetylcholine

H. Markram; M. Segal 

The Journal of physiology. 1990. Vol. 427, p. 381-93. DOI : 10.1113/jphysiol.1990.sp018177.


Calcimycin potentiates responses of rat hippocampal neurons to N-methyl-D-aspartate

H. Markram; M. Segal 

Brain research. 1991. Vol. 540, num. 1-2, p. 322-324. DOI : 10.1016/0006-8993(91)90529-5.


The inositol 1,4,5-trisphosphate pathway mediates cholinergic potentiation of rat hippocampal neuronal responses to NMDA

H. Markram; M. Segal 

The Journal of physiology. 1992. Vol. 447, p. 513-533. DOI : 10.1113/jphysiol.1992.sp019015.

Spontaneous recovery of deficits in spatial memory and cholinergic potentiation of NMDA in CA1 neurons during chronic lithium treatment

G. Richter-Levin; H. Markram; M. Segal 

Hippocampus. 1992. Vol. 2, num. 3, p. 279-86. DOI : 10.1002/hipo.450020307.

Activation of protein kinase C suppresses responses to NMDA in rat CA1 hippocampal neurones

H. Markram; M. Segal 

The Journal of physiology. 1992. Vol. 457, p. 491-501. DOI : 10.1113/jphysiol.1992.sp019389.


Calcium transients in dendrites of neocortical neurons evoked by single subthreshold excitatory postsynaptic potentials via low-voltage-activated calcium channels

H. Markram; B. Sakmann 

Proceedings of the National Academy of Sciences of the United States of America. 1994. Vol. 91, num. 11, p. 5207-5211. DOI : 10.1073/pnas.91.11.5207.


Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons

H. Markram; P. J. Helm; B. Sakmann 

The Journal of physiology. 1995. Vol. 485, num. 1, p. 1-20. DOI : 10.1113/jphysiol.1995.sp020708.


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

J. Lübke; H. Markram; M. Frotscher; B. Sakmann 

Journal of Neuroscience. 1996. Vol. 16, num. 10, p. 3209-18. DOI : 10.1523/JNEUROSCI.16-10-03209.1996.

Redistribution of synaptic efficacy between neocortical pyramidal neurons

H. Markram; M. Tsodyks 

Nature. 1996. Vol. 382, num. 6594, p. 807-10. DOI : 10.1038/382807a0.


Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs

H. Markram; J. Lübke; M. Frotscher; B. Sakmann 

Science. 1997. Vol. 275, num. 5297, p. 213-215. DOI : 10.1126/science.275.5297.213.

The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability

M. V. Tsodyks; H. Markram 

Proceedings of the National Academy of Sciences of the United States of America. 1997. Vol. 94, num. 2, p. 719-723. DOI : 10.1073/pnas.94.2.719.

Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex

H. Markram; J. Lübke; M. Frotscher; A. Roth; B. Sakmann 

The Journal of physiology. 1997. Vol. 500, num. 2, p. 409-40. DOI : 10.1113/jphysiol.1997.sp022031.

Neural codes: firing rates and beyond

W. Gerstner; A. K. Kreiter; H. Markram; A. V. M. Herz 

Proceedings of the National Academy of Sciences of the United States of America. 1997. Vol. 94, num. 24, p. 12740-12741. DOI : 10.1073/pnas.94.24.12740.


Differential signaling via the same axon of neocortical pyramidal neurons

H. Markram; Y. Wang; M. Tsodyks 

Proceedings of the National Academy of Sciences of the United States of America. 1998. Vol. 95, num. 9, p. 5323-5328. DOI : 10.1073/pnas.95.9.5323.

Neural networks with dynamic synapses

M. Tsodyks; K. Pawelzik; H. Markram 

Neural computation. 1998. Vol. 10, num. 4, p. 821-35.

Competitive calcium binding: implications for dendritic calcium signaling

H. Markram; A. Roth; F. Helmchen 

Journal of computational neuroscience. 1998. Vol. 5, num. 3, p. 331-348. DOI : 10.1023/A:1008891229546.

Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses

H. Markram; D. Pikus; A. Gupta; M. Tsodyks 

Neuropharmacology. 1998. Vol. 37, num. 4-5, p. 489-500.

Information processing with frequency-dependent synaptic connections

H. Markram; A. Gupta; A. Uziel; Y. Wang; M. Tsodyks 

Neurobiology of learning and memory. 1998. Vol. 70, num. 1-2, p. 101-12. DOI : 10.1006/nlme.1998.3841.


Synchrony generation in recurrent networks with frequency-dependent synapses

M. Tsodyks; A. Uziel; H. Markram 

Journal of Neuroscience. 2000. Vol. 20, num. 1, p. RC50. DOI : 10.1523/JNEUROSCI.20-01-j0003.2000.

Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex

A. Gupta; Y. Wang; H. Markram 

Science. 2000. Vol. 287, num. 5451, p. 273-278. DOI : 10.1126/science.287.5451.273.


An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing

W. Senn; H. Markram; M. Tsodyks 

Neural computation. 2001. Vol. 13, num. 1, p. 35-67.


Fully implicit parallel simulation of single neurons

M. L. Hines; H. Markram; F. Schürmann 

Journal of computational neuroscience. 2008. Vol. 25, num. 3, p. 439-48. DOI : 10.1007/s10827-008-0087-5.

Slow oscillations in neural networks with facilitating synapses

O. Melamed; O. Barak; G. Silberberg; H. Markram; M. Tsodyks 

Journal of computational neuroscience. 2008. Vol. 25, num. 2, p. 308-16. DOI : 10.1007/s10827-008-0080-z.

Hyper-connectivity and hyper-plasticity in the medial prefrontal cortex in the valproic Acid animal model of autism

T. Rinaldi; C. Perrodin; H. Markram 

Frontiers in neural circuits. 2008. Vol. 2, p. 4. DOI : 10.3389/neuro.04.004.2008.

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

S. Druckmann; T. K. Berger; S. Hill; F. Schürmann; H. Markram et al. 

Biological cybernetics. 2008. Vol. 99, num. 4-5, p. 371-9. DOI : 10.1007/s00422-008-0269-2.

Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons

M. Pospischil; M. Toledo-Rodriguez; C. Monier; Z. Piwkowska; T. Bal et al. 

Biological cybernetics. 2008. Vol. 99, num. 4-5, p. 427-41. DOI : 10.1007/s00422-008-0263-8.

Fixing the location and dimensions of functional neocortical columns

H. Markram 

HFSP journal. 2008. Vol. 2, num. 3, p. 132-5. DOI : 10.2976/1.2919545.

Hyperconnectivity of Local Neocortical Microcircuitry Induced by Prenatal Exposure to Valproic Acid

T. Rinaldi; G. Silberberg; H. Markram 

Cereb Cortex. 2008. Vol. 18, num. 4, p. 763-70. DOI : 10.1093/cercor/bhm117.

Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis

C. Cali; T. K. Berger; M. Pignatelli; A. Carleton; H. Markram et al. 

J Comput Neurosci. 2008. Vol. 24, num. 3, p. 330-345. DOI : 10.1007/s10827-007-0058-2.

Abnormal fear conditioning and amygdala processing in an animal model of autism

K. Markram; T. Rinaldi; D. La Mendola; C. Sandi; H. Markram 

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2008. Vol. 33, num. 4, p. 901-12. DOI : 10.1038/sj.npp.1301453.

Identifying, tabulating, and analyzing contacts between branched neuron morphologies

J. Kozloski; K. Sfyrakis; S. Hill; F. Schürmann; C. Peck et al. 

IBM Journal of Research and Development. 2008. Vol. 52, num. 1/2, p. 43-55. DOI : 10.1147/rd.521.0043.


Single-cell RT-PCR, a technique to decipher the electrical, anatomical, and genetic determinants of neuronal diversity

M. Toledo-Rodriguez; H. Markram 

Methods in molecular biology (Clifton, N.J.). 2007. Vol. 403, p. 123-39. DOI : 10.1007/978-1-59745-529-9_8.

Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells

G. Silberberg; H. Markram 

Neuron. 2007. Vol. 53, num. 5, p. 735-46. DOI : 10.1016/j.neuron.2007.02.012.

Elevated NMDA receptor levels and enhanced postsynaptic long-term potentiation induced by prenatal exposure to valproic acid

T. Rinaldi; K. Kulangara; K. Antoniello; H. Markram 

Proceedings Of The National Academy Of Sciences Of The United States Of America. 2007. Vol. 104, num. 33, p. 13501-6. DOI : 10.1073/pnas.0704391104.

Interfacing neurons with carbon nanotubes: electrical signal transfer and synaptic stimulation in cultured brain circuits

A. Mazzatenta; M. Giugliano; S. Campidelli; L. Gambazzi; L. Businaro et al. 

Journal of Neuroscience. 2007. Vol. 27, num. 26, p. 6931-6936. DOI : 10.1523/JNEUROSCI.1051-07.2007.

The intense world syndrome – an alternative hypothesis for autism

H. Markram; T. Rinaldi; K. Markram 

Front. Neurosci.. 2007. Vol. 1, num. 1, p. 77-96. DOI : 10.3389/neuro.

Bioinformatics: industrializing neuroscience

H. Markram 

Nature. 2007. Vol. 445, num. 7124, p. 160-1. DOI : 10.1038/445160a.

Morphological, electrophysiological, and synaptic properties of corticocallosal pyramidal cells in the neonatal rat neocortex

J. V. Le Be; G. Silberberg; Y. Wang; H. Markram 

Cereb Cortex. 2007. Vol. 17, num. 9, p. 2204-13. DOI : 10.1093/cercor/bhl127.

A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data

S. Druckmann; Y. Banitt; A. Gidon; F. Schürmann; H. Markram et al. 

Front. Neurosci.. 2007. Vol. 1, num. 1, p. 7-18. DOI : 10.3389/neuro.


Enhanced long-term microcircuit plasticity in the valproic Acid animal model of autism

G. T. Silva; J-V. Le Bé; I. Riachi; T. Rinaldi; K. Markram et al. 

Frontiers in synaptic neuroscience. 2009. Vol. 1, p. 1. DOI : 10.3389/neuro.19.001.2009.

A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON

J. G. King; M. Hines; S. Hill; P. H. Goodman; H. Markram et al. 

Frontiers in neuroinformatics. 2009. Vol. 3, p. 10. DOI : 10.3389/neuro.11.010.2009.

Multiquantal release underlies the distribution of synaptic efficacies in the neocortex

A. Loebel; G. Silberberg; D. Helbig; H. Markram; M. Tsodyks et al. 

Frontiers in computational neuroscience. 2009. Vol. 3, p. 27. DOI : 10.3389/neuro.10.027.2009.

Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts

G. Cellot; E. Cilia; S. Cipollone; V. Rancic; A. Sucapane et al. 

Nature Nanotechnology. 2009. Vol. 4, p. 126-133. DOI : 10.1038/NNANO.2008.374.

Frequency-dependent disynaptic inhibition in the pyramidal network: a ubiquitous pathway in the developing rat neocortex

T. K. Berger; R. Perin; G. Silberberg; H. Markram 

Journal Of Physiology-London. 2009. Vol. 587, p. 5411-5425. DOI : 10.1113/jphysiol.2009.176552.

Substrate arrays of iridium oxide microelectrodes for in-vitro neuronal interfacing

S. Gawad; M. Giugliano; M. O. Heuschkel; B. Wessling; H. Markram et al. 

Frontiers in Neuroengineering. 2009. Vol. 2, p. 1.1-1.7. DOI : 10.3389/neuro.16.001.2009.


The intense world theory – a unifying theory of the neurobiology of autism

K. Markram; H. Markram 

Frontiers in human neuroscience. 2010. Vol. 4, p. 224. DOI : 10.3389/fnhum.2010.00224.

Brief Bursts Self-Inhibit and Correlate the Pyramidal Network

T. K. Berger; G. Silberberg; R. Perin; H. Markram 

Plos Biology. 2010. Vol. 8, num. 9, p. e1000473. DOI : 10.1371/journal.pbio.1000473.

Diminished activity-dependent brain-derived neurotrophic factor expression underlies cortical neuron microcircuit hypoconnectivity resulting from exposure to mutant huntingtin fragments

L. Gambazzi; O. Gokce; T. Seredenina; E. Katsyuba; H. Runne et al. 

The Journal of pharmacology and experimental therapeutics. 2010. Vol. 335, num. 1, p. 13-22. DOI : 10.1124/jpet.110.167551.


Ephaptic coupling of cortical neurons

C. A. Anastassiou; R. Perin; H. Markram; C. Koch 

Nature neuroscience. 2011. Vol. 14, num. 2, p. 217-23. DOI : 10.1038/nn.2727.

Morphological development of thick-tufted layer v pyramidal cells in the rat somatosensory cortex

S. Romand; Y. Wang; M. Toledo-Rodriguez; H. Markram 

Frontiers in neuroanatomy. 2011. Vol. 5, p. 5. DOI : 10.3389/fnana.2011.00005.

A synaptic organizing principle for cortical neuronal groups

R. Perin; T. K. Berger; H. Markram 

Proceedings of the National Academy of Sciences of the United States of America. 2011. Vol. 108, num. 13, p. 5419-24. DOI : 10.1073/pnas.1016051108.

Innate neural assemblies for lego memory

H. Markram; R. Perin 

Frontiers in neural circuits. 2011. Vol. 5, p. 6. DOI : 10.3389/fncir.2011.00006.

Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties

E. Hay; S. Hill; F. Schürmann; H. Markram; I. Segev 

PLoS computational biology. 2011. Vol. 7, num. 7, p. e1002107. DOI : 10.1371/journal.pcbi.1002107.

Channelpedia: an integrative and interactive database for ion channels

R. Ranjan; G. Khazen; L. Gambazzi; S. Ramaswamy; S. L. Hill et al. 

Frontiers in neuroinformatics. 2011. Vol. 5, p. 36. DOI : 10.3389/fninf.2011.00036.

Effective Stimuli for Constructing Reliable Neuron Models

S. Druckmann; T. K. Berger; F. Schuermann; S. Hill; H. Markram et al. 

Plos Computational Biology. 2011. Vol. 7, num. 8, p. e1002133. DOI : 10.1371/journal.pcbi.1002133.

Newsmaker interview: Heny Markram Blue Brain founder responds to critics, clarifies his goals

G. Miller; H. Markram 

Science. 2011. Vol. 334, num. 6057, p. 748-749. DOI : 10.1126/science.334.6057.748.

A history of spike-timing-dependent plasticity

H. Markram; W. Gerstner; P. J. Sjöström 

Frontiers in Synaptic Neuroscience. 2011. Vol. 3, num. 4, p. 1-24. DOI : 10.3389/fnsyn.2011.00004.


A neuron membrane mesh representation for visualization of electrophysiological simulations

S. Lasserre; J. Hernando; S. Hill; F. Schürmann; P. d. M. Anasagasti et al. 

IEEE transactions on visualization and computer graphics. 2012. Vol. 18, num. 2, p. 214-27. DOI : 10.1109/TVCG.2011.55.

Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections

S. Ramaswamy; S. L. Hill; J. G. King; F. Schürmann; Y. Wang et al. 

The Journal of physiology. 2012. Vol. 590, num. Pt 4, p. 737-52. DOI : 10.1113/jphysiol.2011.219576.

Combinatorial expression rules of ion channel genes in juvenile rat (Rattus norvegicus) neocortical neurons

G. Khazen; S. L. Hill; F. Schürmann; H. Markram 

PloS One. 2012. Vol. 7, num. 4, p. e34786. DOI : 10.1371/journal.pone.0034786.

The human brain project

H. Markram 

Scientific American. 2012. Vol. 306, num. 6, p. 50-5.

Spike-timing-dependent plasticity: a comprehensive overview

H. Markram; W. Gerstner; P. J. Sjöström 

Frontiers in synaptic neuroscience. 2012. Vol. 4, p. 2. DOI : 10.3389/fnsyn.2012.00002.

Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits

S. L. Hill; Y. Wang; I. Riachi; F. Schürmann; H. Markram 

Proceedings of the National Academy of Sciences of the United States of America. 2012. Vol. 109, num. 42, p. E2885-94. DOI : 10.1073/pnas.1202128109.

Short-term ionic plasticity at GABAergic synapses

J. V. Raimondo; H. Markram; C. J. Akerman 

Frontiers in synaptic neuroscience. 2012. Vol. 4, p. 5. DOI : 10.3389/fnsyn.2012.00005.

The neocortical column

J. DeFelipe; H. Markram; K. S. Rockland 

Frontiers In Neuroanatomy. 2012. Vol. 6, p. 22. DOI : 10.3389/fnana.2012.00022.


Heterogeneity in the pyramidal network of the medial prefrontal cortex

Y. Wang; H. Markram; P. H. Goodman; T. K. Berger; J. Ma et al. 

Nat Neurosci. 2006. Vol. 9, num. 4, p. 534-42. DOI : 10.1038/nn1670.

Parallel network simulations with NEURON

M. Migliore; C. Cannia; W. W. Lytton; H. Markram; M. L. Hines 

J Comput Neurosci. 2006. Vol. 21, num. 2, p. 119-29. DOI : 10.1007/s10827-006-7949-5.

Spontaneous and evoked synaptic rewiring in the neonatal neocortex

J. V. Le Be; H. Markram 

Proceedings Of The National Academy Of Sciences Of The United States Of America. 2006. Vol. 103, num. 35, p. 13214-9. DOI : 10.1073/pnas.0604691103.

Un nouveau mécanisme de mémoire : connexions et déconnexions de neurones dans le néocortex de jeunes rats [A new mechanism for memory: neuronal networks rewiring in the young rat neocortex]

J. V. Le Be; H. Markram 

médecine/sciences. 2006. Vol. 22, num. 12, p. 1031-1033. DOI : 10.1051/medsci/200622121031.


Neuropeptide and calcium-binding protein gene expression profiles predict neuronal anatomical type in the juvenile rat

M. Toledo-Rodriguez; P. Goodman; M. Illic; C. Wu; H. Markram 

J Physiol. 2005. Vol. 567, num. Pt 2, p. 401-13. DOI : 10.1113/jphysiol.2005.089250.

The neocortical microcircuit as a tabula rasa

N. Kalisman; G. Silberberg; H. Markram 

Proceedings Of The National Academy Of Sciences Of The United States Of America. 2005. Vol. 102, num. 3, p. 880-5. DOI : 10.1073/pnas.0407088102.

Subthreshold cross-correlations between cortical neurons: A reference model with static synapses

O. Melamed; G. Silberberg; H. Markram; W. Gerstner; M. J. E. Richardson 

NEUROCOMPUTING. 2005. num. 65-66, p. 685-690. DOI : 10.1016/j.neucom.2004.10.098.

Short-term-plasticity orchestrates the response of pyramidal cells and interneurons to population bursts

M. J. E. Richardson; O. Melamed; G. Silberberg; W. Gerstner; H. Markram 

Journal of Computational Neuroscience. 2005. Vol. 18, p. 323-331. DOI : 10.1007/s10827-005-0434-8.


Anatomical, physiological and molecular properties of Martinotti cells in the somatosensory cortex of the juvenile rat

Y. Wang; M. Toledo-Rodriguez; A. Gupta; C. Wu; G. Silberberg et al. 

J Physiol. 2004. Vol. 561, num. Pt 1, p. 65-90. DOI : 10.1113/jphysiol.2004.073353.

Correlation maps allow neuronal electrical properties to be predicted from single-cell gene expression profiles in rat neocortex

M. Toledo-Rodriguez; B. Blumenfeld; C. Wu; J. Luo; B. Attali et al. 

Cereb Cortex. 2004. Vol. 14, num. 12, p. 1310-27. DOI : 10.1093/cercor/bhh092.

Synaptic dynamics control the timing of neuronal excitation in the activated neocortical microcircuit

G. Silberberg; C. Wu; H. Markram 

J Physiol. 2004. Vol. 556, num. Pt 1, p. 19-27. DOI : 10.1113/jphysiol.2004.060962.

Dynamics of population rate codes in ensembles of neocortical neurons

G. Silberberg; M. Bethge; H. Markram; K. Pawelzik; M. Tsodyks 

Journal of Neurophysiology. 2004. Vol. 91, num. 2, p. 704-709. DOI : 10.1152/jn.00415.2003.

Fading memory and kernel properties of generic cortical microcircuit models

W. Maass; T. Natschlager; H. Markram 

J Physiol Paris. 2004. Vol. 98, num. 4-6, p. 315-30. DOI : 10.1016/j.jphysparis.2005.09.020.

Coding and Learning of behavioral sequences

O. Melamed; W. Gerstner; W. Maass; M. Tsodyks; H. Markram 

Trends in Neurosciences. 2004. Vol. 27, num. 1, p. 11-14. DOI : 10.1016/j.tins.2003.10.014.


Preface to the Special Issue

J. F. Linden; H. Markram 

Cerebral Cortex. 2003. Vol. 13, num. 1, p. 1. DOI : 10.1093/cercor/13.1.1.

Deriving physical connectivity from neuronal morphology

N. Kalisman; G. Silberberg; H. Markram 

Biol Cybern. 2003. Vol. 88, num. 3, p. 210-8. DOI : 10.1007/s00422-002-0377-3.

Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts

S. Häusler; H. Markram; W. Maass 

Complexity. 2003. Vol. 8, num. 4, p. 39-50. DOI : 10.1002/cplx.10089.


Anatomical, physiological, molecular and circuit properties of nest basket cells in the developing somatosensory cortex

Y. Wang; A. Gupta; M. Toledo-Rodriguez; C. Z. Wu; H. Markram 

Cereb Cortex. 2002. Vol. 12, num. 4, p. 395-410. DOI : 10.1093/cercor/12.4.395.

The “Liquid Computer”: A Novel Strategy for Real-Time Computing on Time Series

T. Natschläger; W. Maass; H. Markram 

TELEMATIK. 2002. Vol. 8, num. 1, p. 39-43.

Real-time computing without stable states: a new framework for neural computation based on perturbations

W. Maass; T. Natschlager; H. Markram 

Neural Comput. 2002. Vol. 14, num. 11, p. 2531-60. DOI : 10.1162/089976602760407955.

Synapses as dynamic memory buffers

W. Maass; H. Markram 

Neural Networks. 2002. Vol. 15, num. 2, p. 155-161. DOI : 10.1016/S0893-6080(01)00144-7.

Coding of temporal information by activity-dependent synapses

G. Fuhrmann; I. Segev; H. Markram; M. Tsodyks 

Journal of Neurophysiology. 2002. Vol. 87, num. 1, p. 140-148. DOI : 10.1152/jn.00258.2001.

Spike frequency adaptation and neocortical rhythms

G. Fuhrmann; H. Markram; M. Tsodyks 

Journal of Neurophysiology. 2002. Vol. 88, num. 2, p. 761-770. DOI : 10.1152/jn.2002.88.2.761.