H. Markram

发表

Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs

H. Markram, J. Lübke, M. Frotscher, 1997, Science.

Interneurons of the neocortical inhibitory system

H. Markram, Maria Toledo-Rodriguez, Yun Wang, 2004, Nature Reviews Neuroscience.

Differential signaling via the same axon of neocortical pyramidal neurons.

H. Markram, Y. Wang, M. Tsodyks, 1998, Proceedings of the National Academy of Sciences of the United States of America.

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

H. Markram, M. Tsodyks, Henry Markram, 1997, Proceedings of the National Academy of Sciences of the United States of America.

Coding and learning of behavioral sequences

H. Markram, W. Gerstner, W. Maass, 2004, Trends in Neurosciences.

Redistribution of synaptic efficacy between neocortical pyramidal neurons

H. Markram, M. Tsodyks, 1996, Nature.

Dynamical principles for neuroscience and intelligent biomimetic devices

Wulfram Gerstner, Dario Floreano, Aude Billard, 2006 .

Disynaptic Inhibition between Neocortical Pyramidal Cells Mediated by Martinotti Cells

H. Markram, G. Silberberg, 2007, Neuron.

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

H. Markram, J. Lübke, M. Frotscher, 1997, The Journal of physiology.

Reconstruction and Simulation of Neocortical Microcircuitry

James G. King, Thomas K. Berger, Michael W. Reimann, 2015, Cell.

Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex

E. P. Gardner, Y. Frégnac, K. Rockland, 2008, Nature Reviews Neuroscience.

Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

Henry Markram, Wolfgang Maass, Thomas Natschläger, 2002, Neural Computation.

t Synchrony Generation in Recurrent Networks with Frequency-Dependent Synapses

H. Markram, tMisha Tsodyks, A. Uziel, 2000, The Journal of Neuroscience.

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

H. Markram, Anirudh Gupta, Y. Wang, 2000, Science.

Neuroscience thinks big (and collaboratively)

E. Kandel, C. Koch, P. Matthews, 2013, Nature Reviews Neuroscience.

Topological analysis of the connectome of digital reconstructions of neural microcircuits

Michael W. Reimann, H. Markram, E. Muller, 2016, 1601.01580.

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

Sean L. Hill, H. Markram, Yun Wang, 2012, Proceedings of the National Academy of Sciences.

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

Michael W. Reimann, Sean L. Hill, C. Koch, 2013, Neuron.

The Blue Brain Project

H. Markram, 2006, Nature Reviews Neuroscience.

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

C. Koch, H. Markram, G. Buzsáki, 2015, Journal of neurophysiology.

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

James G. King, Henry Markram, Giuseppe Chindemi, 2015, Front. Neural Circuits.

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

Thomas K. Berger, H. Markram, G. Silberberg, 2009, The Journal of physiology.

Heterogeneity in the pyramidal network of the medial prefrontal cortex

Thomas K. Berger, P. Goldman-Rakic, H. Markram, 2006, Nature Neuroscience.

Morphological Development of Thick-Tufted Layer V Pyramidal Cells in the Rat Somatosensory Cortex

H. Markram, Maria Toledo-Rodriguez, Yun Wang, 2011, Front. Neuroanat..

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

H. Markram, Maria Toledo-Rodriguez, Caizhi Wu, 2004, Cerebral cortex.

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

H. Markram, Maria Toledo-Rodriguez, Caizhi Wu, 2005, The Journal of physiology.

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

H. Markram, Maria Toledo-Rodriguez, Yun Wang, 2004, The Journal of physiology.

Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron

H. Markram, S. Ramaswamy, Srikanth Ramaswamy, 2015, Front. Cell. Neurosci..

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

H. Markram, Maria Toledo-Rodriguez, Yun Wang, 2002, Cerebral cortex.

A History of Spike-Timing-Dependent Plasticity

Wulfram Gerstner, Henry Markram, Per Jesper Sjöström, 2011, Front. Syn. Neurosci..

Redistribution of synaptic efficacy: A mechanism to generate infinite synaptic input diversity from a homogenous population of neurons without changing absolute synaptic efficacies

H. Markram, M. Tsodyks, Henry Markram, 1996, Journal of Physiology - Paris.

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

H. Markram, M. Segal, 1990, Neuroscience Letters.

Information Processing with Frequency-Dependent Synaptic Connections

H. Markram, Yun Wang, Anirudh Gupta, 1998, Neurobiology of Learning and Memory.

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

H. Markram, B. Sakmann, 1994, Proceedings of the National Academy of Sciences of the United States of America.

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

H. Markram, Yun Wang, G. Silberberg, 2007, Cerebral cortex.

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

H. Markram, B. Sakmann, P. Helm, 1995, The Journal of physiology.

Spontaneous and evoked synaptic rewiring in the neonatal neocortex

H. Markram, Jean-Vincent Le Bé, 2006, Proceedings of the National Academy of Sciences.

The neocortical microcircuit as a tabula rasa.

H. Markram, G. Silberberg, Nir Kalisman, 2005, Proceedings of the National Academy of Sciences of the United States of America.

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

H. Markram, Anirudh Gupta, M. Tsodyks, 1998, Neuropharmacology.

Microcircuits in action – from CPGs to neocortex

Fiona E. N. LeBeau, S. Grillner, H. Markram, 2005, Trends in Neurosciences.

Neural Networks with Dynamic Synapses

Henry Markram, Misha Tsodyks, Klaus Pawelzik, 1998, Neural Computation.

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

H. Markram, J. Lübke, M. Frotscher, 1996, The Journal of Neuroscience.

A network of tufted layer 5 pyramidal neurons.

H. Markram, 1997, Cerebral cortex.

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

James G. King, Sean L. Hill, H. Markram, 2012, The Journal of physiology.

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

H. Markram, G. Silberberg, Tania Rinaldi, 2007 .

On the computational power of circuits of spiking neurons

Henry Markram, Wolfgang Maass, H. Markram, 2004, J. Comput. Syst. Sci..

Stereotypy in neocortical microcircuits

H. Markram, Anirudh Gupta, G. Silberberg, 2002, Trends in Neurosciences.

An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing

Henry Markram, Misha Tsodyks, Walter Senn, 2001, Neural Computation.

The blue brain project

Henry Markram, H. Markram, 2006, SC.

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

H. Markram, M. J. Richardson, A. Herz, 2013, The Journal of Neuroscience.

Human Neuroscience

H. Markram, K. Markram, 2022 .

Hyper-Connectivity and Hyper-Plasticity in the Medial Prefrontal Cortex in the Valproic Acid Animal Model of Autism

H. Markram, Tania Rinaldi, C. Perrodin, 2008, Frontiers in neural circuits.

Brief Bursts Self-Inhibit and Correlate the Pyramidal Network

Thomas K. Berger, H. Markram, G. Silberberg, 2010, PLoS biology.

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

H. Markram, G. Silberberg, Caizhi Wu, 2004, The Journal of physiology.

Interfacing Neurons with Carbon Nanotubes: Electrical Signal Transfer and Synaptic Stimulation in Cultured Brain Circuits

H. Markram, M. Prato, L. Ballerini, 2007, The Journal of Neuroscience.

Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts.

H. Markram, Giada Cellot, M. Prato, 2009, Nature nanotechnology.

The Intense World Syndrome – an Alternative Hypothesis for Autism

Henry Markram, H. Markram, Tania Rinaldi, 2007, Front. Neurosci..

Spike frequency adaptation and neocortical rhythms.

Henry Markram, Misha Tsodyks, Galit Fuhrmann, 2002, Journal of neurophysiology.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Voltage-sensitive dye imaging reveals inhibitory modulation of ongoing cortical activity

T. H. Newton, H. Markram, E. Muller, 2019, bioRxiv.

Combinatorial Expression Rules of Ion Channel Genes in Juvenile Rat (Rattus norvegicus) Neocortical Neurons

Henry Markram, Felix Schürmann, Sean L. Hill, 2012, PloS one.

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

Sean L. Hill, H. Markram, C. Rössert, 2019, PLoS computational biology.

Seven challenges for neuroscience.

Henry Markram, H. Markram, 2013, Functional neurology.

Preserving axosomatic spiking features despite diverse dendritic morphology.

Henry Markram, Idan Segev, Felix Schürmann, 2013, Journal of neurophysiology.

Ephaptic coupling of cortical neurons

Christof Koch, Henry Markram, Rodrigo Perin, 2011, Nature Neuroscience.

Data-driven integration of hippocampal CA1 synapse physiology in silico

H. Markram, S. Káli, M. Migliore, 2019, bioRxiv.

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

Henry Markram, Bert Sakmann, Michael Frotscher, 1996 .

INTERNEURON HETEROGENEITY IN NEOCORTEX

H. Markram, Maria Toledo-Rodriguez, Anirudh Gupta, 2003 .

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

James G. King, Christian A. Rössert, H. Markram, 2020, bioRxiv.

Network-timing-dependent plasticity

Henry Markram, Daniel Keller, H. Markram, 2015, Front. Cell. Neurosci..

Henry Markram and Idan Segev dendritic morphology Preserving axosomatic spiking features despite diverse

Idan Segev, H. Markram, Etay Hay, 2013 .

TINS , Microcircuit Series Synaptic Pathways in Neural Microcircuits

Fiona E. N. LeBeau, S. Grillner, H. Markram, 2005 .

Synaptic pathways in neural microcircuits

Henry Markram, Sten Grillner, Reinoud Maex, 2005, Trends in Neurosciences.

New insights into the classification and nomenclature of cortical GABAergic interneurons

Concha Bielza, Pedro Larrañaga, Rafael Yuste, 2013, Nature Reviews Neuroscience.

Data-driven modeling of cholinergic modulation of neural microcircuits: bridging neurons, synapses, and network states

H. Markram, S. Ramaswamy, Srikanth Ramaswamy, 2018, bioRxiv.

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

H. Markram, S. Ramaswamy, Cristina Colangelo, 2018, Front. Neural Circuits.

Using a Novel Voltage-Deconvolution Method Measurement and Analysis of Postsynaptic Potentials

Jean-Vincent Le Bé, H. Markram, G. Silberberg, 2015 .

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

Michael W. Reimann, H. Markram, E. Muller, 2019, bioRxiv.

SCOUT : Prefetching for Latent Structure Following Queries

H. Markram, A. Ailamaki, T. Heinis, 2012 .

Bioinformatics: Industrializing neuroscience

Henry Markram, H. Markram, 2007, Nature.

Elevated blood glucose levels as a primary risk factor for the severity of COVID-19

J. S. Coggan, H. Markram, D. Keller, 2021, medRxiv.

Overexpression of UCP4 in astrocytic mitochondria prevents multilevel dysfunctions in a mouse model of Alzheimer’s disease

H. Markram, A. Rocher, J. Chatton, 2022, bioRxiv.

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

H. Markram, E. Muller, S. Ramaswamy, 2019, Front. Synaptic Neurosci..

Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling.

J. S. Coggan, H. Markram, D. Keller, 2019, Journal of theoretical biology.

Ups and downs in the genesis of cortical computation

Wolfgang Maass, C. M. Michel, Anders Lansner, 2006 .

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

James G. King, H. Markram, V. Delattre, 2022, Nature Communications.

Activity-Dependent Synapses Coding of Temporal Information by

Henry Markram, Brent Doiron, Robert Rosenbaum, 2015 .

Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex

H. Markram, E. Lein, C. D. de Kock, 2022, Cerebral cortex.

Speeding Up Range Queries For Brain Simulations

H. Markram, A. Ailamaki, T. Heinis, 2011 .

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

H. Markram, J. Meystre, J. le Coutre, 2015, Scientific Reports.

Introduction: Spiking Neurons in Neuroscience and Technology

Stephen Grossberg, Henry Markram, Wolfgang Maass, 2001, Neural Networks.

On the Computational Power of Recurrent Circuits of Spiking Neurons

Henry Markram, Wolfgang Maass, H. Markram, 2002, Electron. Colloquium Comput. Complex..

Data-driven Hippocampus CA1 Modeling in the Human Brain Project

Szabolcs Káli, Henry Markram, Michael W. Reimann, 2015 .

Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

Sean L. Hill, H. Markram, S. Kerrien, 2022, Semantic Web.

Newsmaker interview: Henry Markram. Blue Brain founder responds to critics, clarifies his goals. Interview by Greg Miller.

H. Markram, 2011, Science.

A multi-modal fitting approach to construct single-neuron models with patch clamp and high-density microelectrode arrays

H. Markram, A. Hierlemann, A. Buccino, 2022, bioRxiv.

Modeling and Simulation of Rat Non-Barrel Somatosensory Cortex. Part I: Modeling Anatomy

James G. King, Michael W. Reimann, Werner Van Geit, 2022 .

A method to estimate the cellular composition of the mouse brain from heterogeneous datasets

Michael W. Reimann, H. Markram, S. Ramaswamy, 2022, bioRxiv.

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

H. Markram, M. Gewaltig, Berat Denizdurduran, 2022, Biological Cybernetics.

Tight Coupling of Astrocyte pH Dynamics to Epileptiform Activity Revealed by 3 Genetically-Encoded pH Sensors 4 5 6

H. Markram, C. Akerman, Agnese Irkle, 2016 .

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience

Nadir Román Guerrero, J. S. Coggan, H. Markram, 2022, bioRxiv.

Neuromodulatory organization in the developing rat somatosensory cortex

H. Markram, S. Ramaswamy, J. DeFelipe, 2022, bioRxiv.

A universal workflow for creation, validation and generalization of detailed neuronal models

H. Markram, S. Ramaswamy, C. Rössert, 2022, bioRxiv.

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

H. Markram, M. Abdellah, A. Bilgili, 2017, BMC Bioinformatics.

Objective Morphological Classification of Neocortical Pyramidal Cells

Henry Markram, Marwan Abdellah, Srikanth Ramaswamy, 2019, Cerebral cortex.

Innate Neural Assemblies for Lego Memory

Henry Markram, Rodrigo Perin, H. Markram, 2011, Front. Neural Circuits.

Multiquantal release underlies the distribution of synaptic effi cacies in the neocortex

Henry Markram, Misha Tsodyks, Gilad Silberberg, 2022 .

A Brief History of Simulation Neuroscience

Henry Markram, Xue Fan, H. Markram, 2019, Front. Neuroinform..

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

Henry Markram, Felix Schürmann, Marwan Abdellah, 2018, Bioinform..

Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons.

Henry Markram, Giuseppe Chindemi, Idan Segev, 2017, Cell reports.

Channelpedia: An Integrative and Interactive Database for Ion Channels

Henry Markram, Felix Schürmann, Srikanth Ramaswamy, 2011, Front. Neuroinform..

Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties

Henry Markram, Idan Segev, Felix Schürmann, 2011, PLoS Comput. Biol..

A Novel Multiple Objective Optimization Framework for Constraining Conductance-Based Neuron Models by Experimental Data

Henry Markram, Idan Segev, Felix Schürmann, 2007, Front. Neurosci..

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

Henry Markram, Oren Amsalem, Idan Segev, 2016, Cerebral cortex.

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

Henry Markram, Rajnish Ranjan, Enrico Scantamburlo, 2019, Front. Cell. Neurosci..

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

Markus Hadwiger, Corrado Calì, Henry Markram, 2018, Front. Neurosci..

Short-term ionic plasticity at GABAergic synapses

H. Markram, C. Akerman, J. V. Raimondo, 2012, Front. Syn. Neurosci..

Automated point-neuron simplification of data-driven microcircuit models

James G. King, Wulfram Gerstner, Henry Markram, 2016, 1604.00087.

Theory of the Computational Function of Microcircuit Dynamics

Henry Markram, Wolfgang Maass, H. Markram, 2004 .

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Szabolcs Káli, Henry Markram, Felix Schürmann, 2018, PLoS Comput. Biol..

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

H. Markram, J. Meystre, J. le Coutre, 2014, Scientific Reports.

Effective Stimuli for Constructing Reliable Neuron Models

Thomas K. Berger, Henry Markram, Idan Segev, 2011, PLoS Comput. Biol..

Cellular, Synaptic and Network Effects of Acetylcholine in the Neocortex

H. Markram, S. Ramaswamy, D. Keller, 2019, Front. Neural Circuits.

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Giuseppe Chindemi, Idan Segev, 2016, Front. Neuroinform..

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

H. Markram, M. Segal, G. Richter-Levin, 1992, Hippocampus.

Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding

Henry Markram, Misha Tsodyks, H. Markram, 1996, ICANN.

Coding of temporal information by activity-dependent synapses.

Henry Markram, Idan Segev, Misha Tsodyks, 2002, Journal of neurophysiology.

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

J. S. Coggan, H. Markram, D. Keller, 2021, Frontiers in Public Health.

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

Henry Markram, Yves Frégnac, Alain Destexhe, 2008, Biological Cybernetics.

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

H. Markram, C. Akerman, Agnese Irkle, 2016, The Journal of Neuroscience.

Competitive Calcium Binding: Implications for Dendritic Calcium Signaling

Henry Markram, Arnd Roth, Fritjof Helmchen, 1998, Journal of Computational Neuroscience.

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

H. Markram, M. Segal, Menahem Segal, 1992, The Journal of physiology.

A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models

Henry Markram, Robert A. Legenstein, Wolfgang Maass, 2002, Biologically Motivated Computer Vision.

A versatile clearing agent for multi-modal brain imaging

Anna Letizia Allegra Mascaro, Francesco Saverio Pavone, Giulio Iannello, 2015, Scientific Reports.

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

H. Markram, M. Segal, 1992, The Journal of physiology.

Representing Stimulus Information in an Energy Metabolism Pathway.

J. S. Coggan, H. Markram, D. Keller, 2022, Journal of theoretical biology.

Actions of norepinephrine in the rat hippocampus.

H. Markram, M. Segal, G. Richter-Levin, 1991, Progress in brain research.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Rich cell-type-specific network topology in neocortical microcircuitry

Henry Markram, Idan Segev, Eilif Muller, 2017, Nature Neuroscience.

A synaptic organizing principle for cortical neuronal groups

Thomas K. Berger, Henry Markram, Rodrigo Perin, 2011, Proceedings of the National Academy of Sciences.

Digital Reconstruction of the Neuro-Glia-Vascular Architecture

H. Markram, M. Abdellah, Michael Gevaert, 2021, Cerebral cortex.

A Cell Atlas for the Mouse Brain

Henry Markram, Marc-Oliver Gewaltig, Daniel Keller, 2018, Front. Neuroinform..

Frontiers in Synaptic Neuroscience Synaptic Neuroscience Enhanced Long-term Microcircuit Plasticity in the Valproic Acid Animal Model of Autism

Henry Markram, Imad Riachi, Jean-Vincent Le Bé, 2022 .

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

Henry Markram, H. Markram, Tania Rinaldi, 2007, Proceedings of the National Academy of Sciences.

Neuron Geometry Underlies Universal Network Features in Cortical Microcircuits

Idan Segev, Michael London, Rodrigo Perin, 2019, bioRxiv.

The future of human cerebral cartography: a novel approach

Henry Markram, Richard Frackowiak, Richard S. J. Frackowiak, 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

Cell Densities in the Mouse Brain: A Systematic Review

Henry Markram, Daniel Keller, Csaba Erö, 2018, Front. Neuroanat..

A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation

J. S. Coggan, H. Markram, D. Keller, 2021, Frontiers in Molecular Neuroscience.

A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex

H. Markram, D. Keller, J. Meystre, 2019, Front. Neuroanat..

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

H. Markram, J. Meystre, Dimitris Christodoulou, 2015, Front. Neurosci..

General developmental health in the VPA-rat model of autism

H. Markram, G. Khazen, T. R. Barkat, 2013, Front. Behav. Neurosci..

Interneuron Diversity series: Molecular and genetic tools to study GABAergic interneuron diversity and function

Henry Markram, Hannah Monyer, H. Markram, 2004, Trends in Neurosciences.

Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity

Henry Markram, Michael W. Reimann, Srikanth Ramaswamy, 2017, Cerebral cortex.

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

Henry Markram, Giuseppe Chindemi, Michael W. Reimann, 2016, Front. Comput. Neurosci..

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Elementary Principles of Nonlinear Synaptic Transmission

Henry Markram, H. Markram, 2003, Computational Models for Neuroscience.

Using the glial mitochondrial machinery to prevent multilevel dysfunctions observed in a mouse model of Alzheimer s disease

H. Markram, A. Rocher, J. Chatton, 2022 .

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

Corrado Calì, Thomas K. Berger, Michele Pignatelli, 2008, Journal of Computational Neuroscience.

Cortical reliability amid noise and chaos

James G. King, Henry Markram, Michael W. Reimann, 2018, Nature Communications.

Spike-Timing-Dependent Plasticity: A Comprehensive Overview

W. Gerstner, H. Markram, P. J. Sjöström, 2012, Front. Syn. Neurosci..

ARC: An Open Web-Platform for Request/Supply Matching for a Prioritized and Controlled COVID-19 Response

Benjamin R. K. Roller, H. Markram, J. Courcol, 2021, Frontiers in Public Health.

Slow oscillations in neural networks with facilitating synapses

Henry Markram, Misha Tsodyks, Omri Barak, 2008, Journal of Computational Neuroscience.

Introducing the Human Brain Project

Karlheinz Meier, Alois Knoll, Richard S. Frackowiak, 2011, FET.

Impact of higher order network structure on emergent cortical activity

Henry Markram, Michael W. Reimann, Max Nolte, 2019, bioRxiv.

An algorithm to predict the connectome of neural microcircuits

James G. King, Henry Markram, Michael W. Reimann, 2015, Front. Comput. Neurosci..

A hierarchical structure of cortical interneuron electrical diversity revealed by automated statistical analysis.

Henry Markram, Idan Segev, Felix Schürmann, 2013, Cerebral cortex.

Accurate dynamical models of interneuronal GABAergic channel physiologies

John Kenyon, Henry Markram, James B. Maciokas, 2005, Neurocomputing.

Anatomical and functional differentiation of glutamatergic synaptic innervation in the neocortex

Henry Markram, H. Markram, Yun Wang, 1999, Journal of Physiology-Paris.

An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials

Henry Markram, Misha Tsodyks, Walter Senn, 1997, ICANN.

Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in a Neocortical Microcircuit

H Markram, H. Markram, E. Muller, 2019, bioRxiv.

Caries Detection with Near-Infrared Transillumination Using Deep Learning

T. H. Newton, H. Markram, T. Newton, 2019, Journal of dental research.

Mapping of morpho-electric features to molecular identity of cortical inhibitory neurons

Michael W. Reimann, H. Markram, S. Ramaswamy, 2021, bioRxiv.

Abstracts of the 16th Annual Meeting of The Israel Society for Neuroscience Eilat, Israel, November 25–27, 2007

Yonina C. Eldar, Karl J. Friston, Leslie G. Ungerleider, 2008, Neural plasticity.

The Neocortical Column

Henry Markram, Javier DeFelipe, Kathleen S. Rockland, 2012, Front. Neuroanat..

Neural codes: firing rates and beyond.

A V Herz, W Gerstner, A K Kreiter, 1997, Proceedings of the National Academy of Sciences of the United States of America.

Identifying, tabulating, and analyzing contacts between branched neuron morphologies

Henry Markram, Felix Schürmann, James Kozloski, 2008, IBM J. Res. Dev..

Fully implicit parallel simulation of single neurons

Michael L. Hines, Henry Markram, Felix Schürmann, 2008, Journal of Computational Neuroscience.

A Topological Representation of Branching Neuronal Morphologies

Henry Markram, Pawel Dlotko, Ran Levi, 2017, Neuroinformatics.

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

H. Markram, J. DeFelipe, E. Garrido, 2014, Trends in Neurosciences.

Abnormal Fear Conditioning and Amygdala Processing in an Animal Model of Autism

H. Markram, C. Sandi, Tania Rinaldi, 2008, Neuropsychopharmacology.

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

H. Markram, Jane Simko, 2021, The Journal of physiology.

A Neuron Membrane Mesh Representation for Visualization of Electrophysiological Simulations

Henry Markram, Felix Schürmann, Sebastien Lasserre, 2012, IEEE Transactions on Visualization and Computer Graphics.

Architecture of the Neuro-Glia-Vascular System

H. Markram, M. Abdellah, Michael Gevaert, 2021, bioRxiv.

Metaball skinning of synthetic astroglial morphologies into realistic mesh models for in silico simulations and visual analytics

Nadir Román Guerrero, J. S. Coggan, H. Markram, 2021, Bioinform..

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

H. Markram, M. Segal, 1990, The Journal of physiology.

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

H. Markram, Maria Toledo-Rodriguez, 2007, Methods in molecular biology.

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

Henry Markram, Heikki Lehväslaiho, Felix Schürmann, 2018, PLoS computational biology.

The Information Content of Action Potential Trains - A Synaptic Basis

Henry Markram, Misha Tsodyks, H. Markram, 1997, ICANN.

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

Henry Markram, H. Markram, Yun Wang, 2013, Front. Neuroanat..

Shaping dendritic NMDA spikes by timed synaptic inhibition: Implications for the I/O properties of cortical neurons

Idan Segev, H. Markram, E. Muller, 2017, bioRxiv.

Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts

Wulfram Gerstner, Henry Markram, Gilad Silberberg, 2005, Journal of Computational Neuroscience.

Computational models for generic cortical microcircuits

Henry Markram, Wolfgang Maass, Thomas Natschläger, 2004 .

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

Henry Markram, Wolfgang Maass, Stefan Häusler, 2003, Complex..

Computer models and analysis tools for neural microcircuits

Henry Markram, Wolfgang Maass, Thomas Natschläger, 2003 .

Synapses as dynamic memory buffers

Henry Markram, Wolfgang Maass, H. Markram, 2002, Neural Networks.

Accelerating Range Queries for Brain Simulations

Thomas Heinis, Anastasia Ailamaki, Henry Markram, 2012, 2012 IEEE 28th International Conference on Data Engineering.

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

Henry Markram, Menahem Segal, H. Markram, 1990, Brain Research.

Thalamic control of sensory enhancement and sleep spindle properties in a biophysical model of thalamoreticular microcircuitry

Michael W. Reimann, Werner Van Geit, Sean L. Hill, 2022, bioRxiv.

Reconstruction and simulation of thalamoreticular microcircuitry

Michael W. Reimann, Werner Van Geit, Sean L. Hill, 2022 .

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

Henry Markram, Christian O’Reilly, Sean L. Hill, 2019, bioRxiv.

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

H. Markram, V. Delattre, J. Meystre, 2013, Scientific Reports.

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

Henry Markram, Michael W. Reimann, Michael Gevaert, 2019, Nature Communications.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

Community-based Reconstruction and Simulation of a Full-scale Model of Region CA1 of Rat Hippocampus

Michael W. Reimann, Werner Van Geit, Nadir Román Guerrero, 2023, bioRxiv.

In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

Michael W. Reimann, T. H. Newton, H. Markram, 2021, Nature Communications.

Computational synthesis of cortical dendritic morphologies

Lida Kanari, Henry Markram, Benoit Coste, 2020, bioRxiv.

An Approach to Capturing Neuron Morphological Diversity

Sean L. Hill, H. Markram, Imad Riachi, 2009 .

Reconstruction of the Hippocampus.

H. Markram, M. Migliore, F. Schürmann, 2022, Advances in Experimental Medicine and Biology.

Coding of Temporal Information . . .

Henry Markram, Idan Segev, Misha Tsodyks, 2007 .

Parallel network simulations with NEURON

Michael L. Hines, Henry Markram, William W. Lytton, 2006, Journal of Computational Neuroscience.

Deriving physical connectivity from neuronal morphology

Henry Markram, Nir Kalisman, Gilad Silberberg, 2003, Biological Cybernetics.

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation

Michael W. Reimann, Jorge Blanco Alonso, James B. Isbister, 2023, bioRxiv.

Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep

Michael W. Reimann, Sean L. Hill, Nadir Román Guerrero, 2023, Cell reports.

NEOBASE: Databasing the Neocortical Microcircuit

Henry Markram, Asif Jan Muhammad, H. Markram, 2005, HealthGrid.

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

Henry Markram, Wolfgang Maass, Thomas Natschläger, 2002 .

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

Thomas K. Berger, Henry Markram, Idan Segev, 2008, Biological Cybernetics.

Physically-based in silico light sheet microscopy for visualizing fluorescent brain models

Henry Markram, Felix Schürmann, Marwan Abdellah, 2015, BMC Bioinformatics.

Computing the size and number of neuronal clusters in local circuits

Henry Markram, Rodrigo Perin, Martin Telefont, 2013, Front. Neuroanat..

Abstracts of the 16th Annual Meeting of The Israel Society for Neuroscience Eilat, Israel, November 25–27, 2007

Yonina C. Eldar, Karl J. Friston, Leslie G. Ungerleider, 2008, Neural plasticity.

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

Henry Markram, Felix Schürmann, Daniel Keller, 2015, PLoS Comput. Biol..

Dense Computer Replica of Cortical Microcircuits Unravels Cellular Underpinnings of Auditory Surprise Response

Michael W. Reimann, Oren Amsalem, Idan Segev, 2020, bioRxiv.

Early perceptual loss in depression

Yonina C. Eldar, Karl J. Friston, Charles R. Seger, 2007 .

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

H. Markram, M. Segal, 1990, Neurobiology of Aging.

Neuron Geometry Underlies a Universal Local Architecture in Neuronal Networks

Henry Markram, Idan Segev, Michael London, 2019 .

Disynaptic inhibition between neocortical pyramidal cells

Henry Markram, H. Markram, 2007, Neuroscience Research.

Preserving Axo-somatic Spiking Features Despite Diverse Dendritic 2 Morphology 3 4

Idan Segev, H. Markram, Etay Hay, 2013 .

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

H. Markram, M. Segal, 1991, Brain Research.

The human brain project.

Henry Markram, H. Markram, 2012, Scientific American.

Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies

H. Markram, M. Abdellah, N. Antille, 2017, bioRxiv.

Multiquantal release underlies the distribution of synaptic efficacies in the neocortex

H. Markram, G. Silberberg, M. Tsodyks, 2009, Frontiers Comput. Neurosci..

Diminished Activity-Dependent Brain-Derived Neurotrophic Factor Expression Underlies Cortical Neuron Microcircuit Hypoconnectivity Resulting from Exposure to Mutant Huntingtin Fragments

Henry Markram, Michele Giugliano, Luca Gambazzi, 2010, Journal of Pharmacology and Experimental Therapeutics.

Objective Classification of Neocortical Pyramidal Cells

Henry Markram, Marwan Abdellah, Srikanth Ramaswamy, 2018, bioRxiv.

A Computational Model of Light-Sheet Fluorescence Microscopy using Physically-based Rendering

Henry Markram, Felix Schürmann, Marwan Abdellah, 2015, Eurographics.

Substrate Arrays of Iridium Oxide Microelectrodes for in Vitro Neuronal Interfacing

Henry Markram, Hywel Morgan, Michele Giugliano, 2008, Front. Neuroeng..

A Physically Plausible Model for Rendering Highly Scattering Fluorescent Participating Media pdf

Henry Markram, Felix Schürmann, Marwan Abdellah, 2017, ArXiv.

Fading memory and kernel properties of generic cortical microcircuit models

Henry Markram, Wolfgang Maass, Thomas Natschläger, 2004, Journal of Physiology-Paris.

A Model for Real-Time Computation in Generic Neural Microcircuits

Henry Markram, Wolfgang Maass, Thomas Natschläger, 2002, NIPS.

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy

Michael W. Reimann, James B. Isbister, H. Markram, 2023, bioRxiv.

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation

Michael W. Reimann, Jorge Blanco Alonso, James B. Isbister, 2023, bioRxiv.

A computer-assisted multi-electrode patch-clamp system.

Henry Markram, Rodrigo Perin, H. Markram, 2013, Journal of visualized experiments : JoVE.

Enhanced Long-Term Microcircuit Plasticity in the Valproic Acid Animal Model of Autism

H. Markram, Imad Riachi, Jean-Vincent Le Bé, 2009, Front. Syna. Neurosci..

SCOUT: Prefetching for Latent Feature Following Queries

H. Markram, A. Ailamaki, T. Heinis, 2012, Proc. VLDB Endow..

Fixing the location and dimensions of functional neocortical columns

Henry Markram, H. Markram, 2008, HFSP journal.

Hyperconnectivity of local neocortical microcircuitry induced by prenatal exposure to valproic acid.

H. Markram, G. Silberberg, Tania Rinaldi, 2008, Cerebral cortex.

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

H. Markram, B. Sakmann, P. Helm, 2008 .

The Intense World Theory – A Unifying Theory of the Neurobiology of Autism

H. Markram, K. Markram, 2010, Front. Hum. Neurosci..

Breakdown and rejuvenation of aging brain energy metabolism

H. Markram, D. Keller, Elvis Boci, 2023, bioRxiv.

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

H. Markram, M. Segal, 1992 .

Preface to the Special Issue

Henry Markram, Jennifer F. Linden, H. Markram, 2003 .

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

C. Koch, H. Markram, G. Buzsáki, 2015, Journal of neurophysiology.

Quantifying topological invariants of neuronal morphologies pdf

Henry Markram, Pawel Dlotko, Ran Levi, 2016, ArXiv.

Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts.

H. Markram, Giada Cellot, M. Prato, 2009, Nature nanotechnology.

Dynamics of population rate codes in ensembles of neocortical neurons.

H Markram, M Bethge, G Silberberg, 2004, Journal of neurophysiology.

Neocortical Neurons Dynamics of Population Rate Codes in Ensembles of

H. Markram, M. Tsodyks, K. Pawelzik, 2006 .

Atlas of Inhibitory Neurons in the Mouse Brain

Michael W. Reimann, H. Markram, D. Keller, 2021 .

Rich cell-type-specific network topology in neocortical microcircuitry

Michael W. Reimann, Idan Segev, H. Markram, 2017, Nature Neuroscience.

The Human Brain Project A Report to the European Commission

H. Markram, W. Gerstner, S. Dehaene, 2022 .

The modular cross-synaptic nature of LTP/LTD following on-going neural activity

Henry Markram, Andreas Herz, Alex Loebel, 2011, BMC Neuroscience.

The Role of Hub Neurons in Modulating Cortical Dynamics

H. Markram, M. London, I. Segev, 2021, bioRxiv.

Data driven building of realistic neuron model using IBEA and CMA evolution strategies

Werner Van Geit, Henry Markram, Tanguy Damart, 2020, GECCO Companion.

Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis

Felix Schürmann, Marwan Abdellah, Daniel Keller, 2020, Bioinform..

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

H. Markram, Maria Toledo-Rodriguez, 2014, Methods in molecular biology.

Community-based Reconstruction and Simulation of a Full-scale Model of Region CA1 of Rat Hippocampus

Michael W. Reimann, Werner Van Geit, Nadir Román Guerrero, 2024, bioRxiv.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Vito Paolo Pastore, Alfred B. Yu, Kelvin S. Oie, 2017, BMC Neuroscience.

A computer-assisted multi-electrode patch-clamp system.

H. Markram, R. Perin, 2013, Journal of visualized experiments : JoVE.