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“Morphology, physiology and synaptic connectivity of local interneurons in the mouse somatosensory thalamus”, Jane Simko and Henry Markram, The Journal of Physiology, November 2021 Avertissement Veuillez noter que les listes de publications issues d’Infoscience et intégrées sur le site web de l’EPFL, les pages de laboratoires et les pages people sont figées suite au lancement de la nouvelle version de la plateforme.
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× 2024 2022 2021 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. 2020 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. 2019 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. 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. 2018 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. 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. 2017 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. 2016 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. 2015 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. 2013 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. 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. One minute with … Henry Markram J. Griggs ; H. Markram
New Scientist . 2013. Vol. 217 , num. 2903 , p. 29-29. 2014 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. 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. 1989 1990 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. 1991 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. 1992 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. 1994 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. 1995 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. 1996 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. 1997 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. 1998 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. 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. 2000 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. 2001 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. 2008 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. 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. 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. 2007 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. 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.01.1.1.006.2007. 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.01.1.1.001.2007. 2009 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. 2010 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. 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. 2011 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. 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. 2012 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. 2006 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. 2005 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. 2004 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. 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. 2003 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. 2002 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.
