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Henry Markram
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
- [j53]Anil Tuncel, Werner Van Geit, Mike Gevaert, Benjamin Torben-Nielsen, Darshan Mandge, Ilkan Kiliç, Aurélien Jaquier, Eilif B. Müller, Lida Kanari, Henry Markram:
BlueCelluLab: Biologically Detailed Neural Network Experimentation API. J. Open Source Softw. 9(100): 7026 (2024) - [j52]Alessio Paolo Buccino, Tanguy Damart, Julian Bartram, Darshan Mandge, Xiaohan Xue, Mickael Zbili, Tobias Gänswein, Aurélien Jaquier, Vishalini Emmenegger, Henry Markram, Andreas Hierlemann, Werner Van Geit:
A Multimodal Fitting Approach to Construct Single-Neuron Models With Patch Clamp and High-Density Microelectrode Arrays. Neural Comput. 36(7): 1286-1331 (2024) - 2023
- [j51]Marwan Abdellah
, Juan Jose Garcia-Cantero, Nadir Román Guerrero, Alessandro Foni, Jay S. Coggan, Corrado Calì
Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Briefings Bioinform. 24(1) (2023) - [j50]Maria Reva
A universal workflow for creation, validation, and generalization of detailed neuronal models. Patterns 4(11): 100855 (2023) - [j49]Yann Roussel
Mapping of morpho-electric features to molecular identity of cortical inhibitory neurons. PLoS Comput. Biol. 19(1) (2023) - [j48]Mohameth-François Sy
Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science. Semantic Web 14(4): 697-727 (2023) - [c16]Cristina E. Gonzalez-Espinoza, Anna-Kristin Kaufmann, Eugenia Oshurko, Alejandra Garcia Rojas Martinez, Sarah Mouffok, Konstantinos Platis, Jonathan Lurie, Jayakrishnan Nair, Patrycja Lurie, Silvia Jimenez, Pierre-Alexandre Fonta, Huanxiang Lu, Nabil Alibou, Mohameth-François Sy, Bogdan Roman, Samuel Kerrien, Henry Markram, Sean L. Hill:
Blue Brain Knowledge Graph: Leveraging Semantic Web Technologies for Simulation Neuroscience. ISWC (Posters/Demos/Industry) 2023 - 2022
- [j47]Berat Denizdurduran
Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning. Biol. Cybern. 116(5): 711-726 (2022) - [j46]Berat Denizdurduran
Correction: Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning. Biol. Cybern. 116(5): 727 (2022) - [j45]Berat Denizdurduran
Correction: Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning. Biol. Cybern. 116(5): 729 (2022) - [j44]Dimitri Rodarie
A method to estimate the cellular composition of the mouse brain from heterogeneous datasets. PLoS Comput. Biol. 18(12): 1010739 (2022) - 2021
- [j43]Marwan Abdellah, Alessandro Foni, Eleftherios Zisis
Metaball skinning of synthetic astroglial morphologies into realistic mesh models for in silico simulations and visual analytics. Bioinform. 37(Supplement): 426-433 (2021) - [j42]Jan Krepl, Francesco Casalegno, Emilie Delattre, Csaba Erö, Huanxiang Lu, Daniel Keller
Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas. Frontiers Neuroinformatics 15: 691918 (2021) - 2020
- [j41]Marwan Abdellah, Nadir Román Guerrero, Samuel Lapere, Jay S. Coggan, Daniel Keller
Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis. Bioinform. 36(Supplement-1): i534-i541 (2020) - [c15]Tanguy Damart, Werner Van Geit, Henry Markram:
Data driven building of realistic neuron model using IBEA and CMA evolution strategies. GECCO Companion 2020: 35-36
2010 – 2019
- 2019
- [j40]Csaba Erö, Marc-Oliver Gewaltig
Corrigendum: A Cell Atlas for the Mouse Brain. Frontiers Neuroinformatics 13: 7 (2019) - [j39]Xue Fan
A Brief History of Simulation Neuroscience. Frontiers Neuroinformatics 13: 32 (2019) - [j38]Elisabetta Iavarone
Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons. PLoS Comput. Biol. 15(5) (2019) - 2018
- [j37]Marwan Abdellah, Juan Hernando, Stefan Eilemann, Samuel Lapere, Nicolas Antille, Henry Markram, Felix Schürmann:
NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks. Bioinform. 34(13): i574-i582 (2018) - [j36]Csaba Erö, Marc-Oliver Gewaltig, Daniel Keller
A Cell Atlas for the Mouse Brain. Frontiers Neuroinformatics 12: 84 (2018) - [j35]Lida Kanari
A Topological Representation of Branching Neuronal Morphologies. Neuroinformatics 16(1): 3-13 (2018) - [j34]Rosanna Migliore
The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow. PLoS Comput. Biol. 14(9) (2018) - 2017
- [j33]Marwan Abdellah, Juan Hernando, Nicolas Antille, Stefan Eilemann, Henry Markram, Felix Schürmann:
Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies. BMC Bioinform. 18(S-10): 39-50 (2017) - [j32]Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Julian C. Shillcock, Henry Markram, Felix Schürmann:
Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation. BMC Bioinform. 18(S-2): 62:1-62:14 (2017) - [j31]Michael W. Reimann
Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Frontiers Comput. Neurosci. 11: 48 (2017) - [i4]Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Henry Markram, Felix Schürmann:
A Physically Plausible Model for Rendering Highly Scattering Fluorescent Participating Media. CoRR abs/1706.03024 (2017) - 2016
- [j30]Werner Van Geit
BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. Frontiers Neuroinformatics 10: 17 (2016) - [c14]Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Henry Markram, Felix Schürmann:
Physically-based Rendering of Highly Scattering Fluorescent Solutions using Path Tracing. Eurographics (Posters) 2016: 17-18 - [i3]Lida Kanari, Pawel Dlotko, Martina Scolamiero, Ran Levi, Julian C. Shillcock, Kathryn Hess
Quantifying topological invariants of neuronal morphologies. CoRR abs/1603.08432 (2016) - 2015
- [j29]Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Henry Markram, Felix Schürmann:
Physically-based in silico light sheet microscopy for visualizing fluorescent brain models. BMC Bioinform. 16(S11): S8 (2015) - [j28]Michael W. Reimann
An algorithm to predict the connectome of neural microcircuits. Frontiers Comput. Neurosci. 9: 120 (2015) - [j27]Daniel Keller
An Exclusion Zone for Ca2+ Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse. PLoS Comput. Biol. 11(5) (2015) - [c13]Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Henry Markram, Felix Schürmann:
A Computational Model of Light-Sheet Fluorescence Microscopy using Physically-based Rendering. Eurographics (Posters) 2015: 15-16 - 2014
- [c12]Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
OCTOPUS: Efficient query execution on dynamic mesh datasets. ICDE 2014: 1000-1011 - 2012
- [j26]Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
SCOUT: Prefetching for Latent Feature Following Queries. Proc. VLDB Endow. 5(11): 1531-1542 (2012) - [j25]Sebastien Lasserre, Juan Hernando, Sean L. Hill
A Neuron Membrane Mesh Representation for Visualization of Electrophysiological Simulations. IEEE Trans. Vis. Comput. Graph. 18(2): 214-227 (2012) - [c11]Dimitri Probst, Wolfgang Maass, Henry Markram, Marc-Oliver Gewaltig:
Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball. ICANN (1) 2012: 209-216 - [c10]Farhan Tauheed, Laurynas Biveinis, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
Accelerating Range Queries for Brain Simulations. ICDE 2012: 941-952 - [i2]Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
SCOUT: Prefetching for Latent Feature Following Queries. CoRR abs/1208.0276 (2012) - 2011
- [j24]Rajnish Ranjan, Georges Khazen
Channelpedia: An Integrative and Interactive Database for Ion Channels. Frontiers Neuroinformatics 5: 36 (2011) - [j23]Etay Hay, Sean L. Hill
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties. PLoS Comput. Biol. 7(7) (2011) - [j22]Shaul Druckmann, Thomas K. Berger, Felix Schürmann, Sean L. Hill
Effective Stimuli for Constructing Reliable Neuron Models. PLoS Comput. Biol. 7(8) (2011) - [c9]Henry Markram, Karlheinz Meier, Thomas Lippert, Sten Grillner, Richard S. Frackowiak
Introducing the Human Brain Project. FET 2011: 39-42
2000 – 2009
- 2009
- [j21]Alex Loebel, Gilad Silberberg
Multiquantal release underlies the distribution of synaptic efficacies in the neocortex. Frontiers Comput. Neurosci. 3: 27 (2009) - [j20]James Gonzalo King, Michael L. Hines, Sean L. Hill, Philip H. Goodman, Henry Markram, Felix Schürmann:
A component-based extension framework for large-scale parallel simulations in NEURON. Frontiers Neuroinformatics 3: 10 (2009) - 2008
- [j19]Shaul Druckmann, Thomas K. Berger, Sean L. Hill
Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biol. Cybern. 99(4-5): 371-379 (2008) - [j18]Martin Pospischil, Maria Toledo-Rodriguez, Cyril Monier, Zuzanna Piwkowska
Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biol. Cybern. 99(4-5): 427-441 (2008) - [j17]James R. Kozloski, Konstantinos Sfyrakis, Sean L. Hill
Identifying, tabulating, and analyzing contacts between branched neuron morphologies. IBM J. Res. Dev. 52(1-2): 43-56 (2008) - [j16]Corrado Calì
Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis. J. Comput. Neurosci. 24(3): 330-345 (2008) - [j15]Ofer Melamed, Omri Barak
Slow oscillations in neural networks with facilitating synapses. J. Comput. Neurosci. 25(2): 308-316 (2008) - [j14]Michael L. Hines, Henry Markram, Felix Schürmann:
Fully implicit parallel simulation of single neurons. J. Comput. Neurosci. 25(3): 439-448 (2008) - 2007
- [c8]Charles C. Peck, James R. Kozloski, Guillermo A. Cecchi, Sean L. Hill
Network-Related Challenges and Insights from Neuroscience. BIOWIRE 2007: 67-78 - 2006
- [j13]Michele Migliore
Parallel network simulations with NEURON. J. Comput. Neurosci. 21(2): 119-129 (2006) - [c7]Henry Markram:
Biology - The blue brain project. SC 2006: 53 - 2005
- [j12]James B. Maciokas, Philip H. Goodman, John Kenyon, Maria Toledo-Rodriguez, Henry Markram:
Accurate dynamical models of interneuronal GABAergic channel physiologies. Neurocomputing 65-66: 5-14 (2005) - [j11]Ofer Melamed, Gilad Silberberg
Subthreshold cross-correlations between cortical neurons: A reference model with static synapses. Neurocomputing 65-66: 685-690 (2005) - [j10]Magnus J. E. Richardson, Ofer Melamed, Gilad Silberberg
Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts. J. Comput. Neurosci. 18(3): 323-331 (2005) - [c6]Asif Jan Muhammad, Henry Markram:
NEOBASE: Databasing the Neocortical Microcircuit. HealthGrid 2005: 167-177 - 2004
- [j9]Wolfgang Maass, Henry Markram:
On the computational power of circuits of spiking neurons. J. Comput. Syst. Sci. 69(4): 593-616 (2004) - 2003
- [j8]Nir Kalisman
Deriving physical connectivity from neuronal morphology. Biol. Cybern. 88(3): 210-218 (2003) - [j7]Stefan Häusler, Henry Markram, Wolfgang Maass:
Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts. Complex. 8(4): 39-50 (2003) - [p1]Henry Markram:
Elementary Principles of Nonlinear Synaptic Transmission. Computational Models for Neuroscience 2003: 125-169 - 2002
- [j6]Wolfgang Maass, Thomas Natschläger, Henry Markram:
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. Neural Comput. 14(11): 2531-2560 (2002) - [j5]Wolfgang Maass, Henry Markram:
Synapses as dynamic memory buffers. Neural Networks 15(1): 155-161 (2002) - [c5]Wolfgang Maass, Robert Legenstein, Henry Markram:
A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. Biologically Motivated Computer Vision 2002: 282-293 - [c4]Wolfgang Maass, Thomas Natschläger, Henry Markram:
A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS 2002: 213-220 - [i1]Wolfgang Maass, Henry Markram:
On the Computational Power of Recurrent Circuits of Spiking Neurons. Electron. Colloquium Comput. Complex. TR02 (2002) - 2001
- [j4]Walter Senn
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. Neural Comput. 13(1): 35-67 (2001) - [j3]Stephen Grossberg, Wolfgang Maass, Henry Markram:
Introduction: Spiking Neurons in Neuroscience and Technology. Neural Networks 14(6-7): 587- (2001)
1990 – 1999
- 1998
- [j2]Henry Markram, Arnd Roth
Competitive Calcium Binding: Implications for Dendritic Calcium Signaling. J. Comput. Neurosci. 5(3): 331-348 (1998) - [j1]Misha Tsodyks
Neural Networks with Dynamic Synapses. Neural Comput. 10(4): 821-835 (1998) - 1997
- [c3]Henry Markram, Misha Tsodyks:
The Information Content of Action Potential Trains - A Synaptic Basis. ICANN 1997: 13-23 - [c2]Walter Senn
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials. ICANN 1997: 121-126 - 1996
- [c1]Misha Tsodyks, Henry Markram:
Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. ICANN 1996: 445-450
Coauthor Index
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