Highlights

2025
Higher-order interactions in neuronal function: From genes to ionic currents in biophysical models
Proceedings of the National Academy of Sciences. 2025. Vol. 122, num. 40. DOI : 10.1073/pnas.2500048122.N-glycosylation modulates the inactivation kinetics of the Kv3.4 ion channel
iScience. 2025. Vol. 28, num. 9, p. 113409. DOI : 10.1016/j.isci.2025.113409.Biophysical modeling of thalamic reticular nucleus subpopulations and their differential contribution to spindle dynamics
iScience. 2025. Vol. 28, num. 9, p. 113393. DOI : 10.1016/j.isci.2025.113393.Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks
iScience. 2025. Vol. 28, num. 7, p. 112928. DOI : 10.1016/j.isci.2025.112928.A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers
PLOS Computational Biology. 2025. Vol. 21, num. 5. DOI : 10.1371/journal.pcbi.1013070.Seizure and redox rescue in a model of glucose transport deficiency
PLoS Computational Biology. 2025. Vol. 21, num. 4, p. e1012959. DOI : 10.1371/journal.pcbi.1012959.Computational Generation of Long-range Axonal Morphologies
NEUROINFORMATICS. 2025. Vol. 23, num. 1. DOI : 10.1007/s12021-024-09696-0.2024
Cell density quantification of high resolution Nissl images of the juvenile rat brain
Frontiers In Neuroanatomy. 2024. Vol. 18, p. 1463632. DOI : 10.3389/fnana.2024.1463632.Nissl_3, Raw images for Machine learning for histological annotation and quantification of cortical layers.
2024.Nissl_5, Raw images for Machine learning for histological annotation and quantification of cortical layers
2024.Nissl_2, Raw images for Machine learning for histological annotation and quantification of cortical layers.
2024.Nissl_4, Raw images for Machine learning for histological annotation and quantification of cortical layers.
2024.Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala
Nature Neuroscience. 2024. DOI : 10.1038/s41593-024-01676-6.Nissl_1, Raw images for Machine learning for histological annotation and quantification of cortical layers
2024.Supplementary files for Machine learning for histological annotation and quantification of cortical layers
2024.Nissl_6, Raw images for Machine learning for histological annotation and quantification of cortical layers
2024.2023
Transcriptional maintenance of cortical somatostatin interneuron subtype identity during migration
Neuron. 2023. Vol. 111, num. 22. DOI : 10.1016/j.neuron.2023.07.018.Neuronal growth on high-aspect-ratio diamond nanopillar arrays for biosensing applications
Scientific Reports. 2023. Vol. 13, num. 1. DOI : 10.1038/s41598-023-32235-x.2022
A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex
Nature Communications. 2022. Vol. 13, num. 1, p. 3038. DOI : 10.1038/s41467-022-30214-w.2021
Homeostatic regulation of axonal Kv1.1 channels accounts for both synaptic and intrinsic modifications in the hippocampal CA3 circuit
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2021. Vol. 118, num. 47, p. e2110601118. DOI : 10.1073/pnas.2110601118j1of12.Morphology, physiology and synaptic connectivity of local interneurons in the mouse somatosensory thalamus
Journal Of Physiology. 2021. Vol. 599, num. 22, p. 5085 – 5101. DOI : 10.1113/JP281711.Temporal stability of stimulus representation increases along rodent visual cortical hierarchies
Nature Communications. 2021. Vol. 12, num. 1, p. 4448. DOI : 10.1038/s41467-021-24456-3.Cellpose training data and scripts from “Machine learning for histological annotation and quantification of cortical layers”
2021.Rodent somatosensory thalamocortical circuitry: Neurons, synapses, and connectivity
Neuroscience And Biobehavioral Reviews. 2021. Vol. 126, p. 213 – 235. DOI : 10.1016/j.neubiorev.2021.03.015.Engram cell connectivity: an evolving substrate for information storage
Current Opinion In Neurobiology. 2021. Vol. 67, p. 215 – 225. DOI : 10.1016/j.conb.2021.01.006.Thalamic microcircuitry: neurons, synapses, and circuit motifs in receptive field structure and sensory processing
Lausanne, EPFL, 2021.2020
GABA-mediated tonic inhibition differentially modulates gain in functional subtypes of cortical interneurons
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2020. Vol. 117, num. 6, p. 3192 – 3202. DOI : 10.1073/pnas.1906369117.A Kinetic Map of the Homomeric Voltage-gated Potassium Channel (Kv) Family
2020. 64th Annual Meeting of the Biophysical-Society, San Diego, CA, Feb 15-19, 2020. p. 108A – 108A. DOI : 10.1016/j.bpj.2019.11.739.Impact of higher order network structure on emergent cortical activity
Network Neuroscience. 2020. Vol. 4, num. 1, p. 292 – 314. DOI : 10.1162/netn_a_00124.2019
Inferring and validating mechanistic models of neural microcircuits based on spike-train data
Nature Communications. 2019. Vol. 10, p. 4933. DOI : 10.1038/s41467-019-12572-0.Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex
Frontiers In Synaptic Neuroscience. 2019. Vol. 11, p. 29. DOI : 10.3389/fnsyn.2019.00029.A null model of the mouse whole-neocortex micro-connectome
Nature Communications. 2019. Vol. 10, p. 3903. DOI : 10.1038/s41467-019-11630-x.Caries Detection with Near-Infrared Transillumination Using Deep Learning
Journal of Dental Research. 2019. p. 0022034519871884. DOI : 10.1177/0022034519871884.Cortical reliability amid noise and chaos
Nature Communications. 2019. Vol. 10, p. 3792. DOI : 10.1038/s41467-019-11633-8.A Kinetic Map of the Homomeric Voltage-Gated Potassium Channel (Kv) Family
Frontiers in Cellular Neuroscience. 2019. Vol. 13, p. 358. DOI : 10.3389/fncel.2019.00358.A Derived Positional Mapping of Inhibitory Subtypes in the Somatosensory Cortex
Frontiers In Neuroanatomy. 2019. Vol. 13, p. 78. DOI : 10.3389/fnana.2019.00078.A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
Neuroinformatics. 2019. Vol. 17, num. 3, p. 391 – 406. DOI : 10.1007/s12021-018-9404-y.Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons
PLoS Computational Biology. 2019. Vol. 15, num. 5, p. e1006753. DOI : 10.1371/journal.pcbi.1006753.A Brief History of Simulation Neuroscience
Frontiers In Neuroinformatics. 2019. Vol. 13, p. 32. DOI : 10.3389/fninf.2019.00032.Cellular, Synaptic and Network Effects of Acetylcholine in the Neocortex
Frontiers In Neural Circuits. 2019. Vol. 13, p. 24. DOI : 10.3389/fncir.2019.00024.Objective Morphological Classification of Neocortical Pyramidal Cells
Cerebral Cortex. 2019. Vol. 29, num. 4, p. 1719 – 1735. DOI : 10.1093/cercor/bhy339.Individual differences in sensory sensitivity: Further lessons from an Autism model
Cognitive Neuroscience. 2019. Vol. 10, num. 3, p. 171 – 173. DOI : 10.1080/17588928.2019.1592143.Corrigendum: A Cell Atlas for the Mouse Brain
Frontiers In Neuroinformatics. 2019. Vol. 13, p. 7. DOI : 10.3389/fninf.2019.00007.Untangling emergent cortical dynamics: neurons from networks, noise from chaos
Lausanne, EPFL, 2019.In Silico Voltage-Sensitive Dye Imaging: A Model-Based Approach for Bridging Scales of Cortical Activity
Lausanne, EPFL, 2019.2018
A Cell Atlas for the Mouse Brain
Frontiers In Neuroinformatics. 2018. Vol. 12, p. 84. DOI : 10.3389/fninf.2018.00084.Cell Densities in the Mouse Brain: A Systematic Review
Frontiers In Neuroanatomy. 2018. Vol. 12, p. 83. DOI : 10.3389/fnana.2018.00083.Data-Driven Modeling of Cholinergic Modulation of Neural Microcircuits: Bridging Neurons, Synapses and Network Activity
Frontiers In Neural Circuits. 2018. Vol. 12, p. 77. DOI : 10.3389/fncir.2018.00077.A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble
Frontiers In Neuroscience. 2018. Vol. 12, p. 664. DOI : 10.3389/fnins.2018.00664.Data-driven reconstruction of a point neuron mouse brain
Lausanne, EPFL, 2018.NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks
BIOINFORMATICS. 2018. Vol. 34, num. 13, p. 574 – 582. DOI : 10.1093/bioinformatics/bty231.Genetic identification of brain cell types underlying schizophrenia
Nature Genetics. 2018. Vol. 50, num. 6, p. 825 – 833. DOI : 10.1038/s41588-018-0129-5.Dynamical response properties of neocortical neurons to conductance-driven time-varying inputs
European Journal of Neuroscience. 2018. Vol. 47, num. 1, p. 17 – 32. DOI : 10.1111/ejn.13761.2017
The Crossed Projection to the Striatum in Two Species of Monkey and in Humans: Behavioral and Evolutionary Significance
Cerebral Cortex. 2017. Vol. 27, num. 6, p. 3217 – 3230. DOI : 10.1093/cercor/bhw161.Neurogenic Radial Glia-like Cells in Meninges Migrate and Differentiate into Functionally Integrated Neurons in the Neonatal Cortex
Cell Stem Cell. 2017. Vol. 20, num. 3, p. 360 – 373.e7. DOI : 10.1016/j.stem.2016.10.020.Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function
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
Bmc Bioinformatics. 2017. Vol. 18, p. 62. DOI : 10.1186/s12859-016-1444-4.All-diamond functional surface micro-electrode arrays for brain-slice neural analysis
Physica Status Solidi (a). 2017. Vol. 214, num. 2, p. 1532347. DOI : 10.1002/pssa.201532347.Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity
Cerebral Cortex. 2017. Vol. 27, num. 9, p. 4570 – 4585. DOI : 10.1093/cercor/bhx150.Modeling the metabolic response of astrocytes to neuronal activity
2017. 13th European Meeting on Glial Cells in Health and Disease, Edinburgh, SCOTLAND, JUL 08-11, 2017. p. E280 – E280.Diamond microelectrode arrays for in vitro neuronal recordings
Mrs Communications. 2017. Vol. 7, num. 3, p. 683 – 690. DOI : 10.1557/mrc.2017.62.On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes
The 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
Cerebral Cortex. 2016. Vol. 26, num. 8, p. 3655 – 3668. DOI : 10.1093/cercor/bhw166.Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons
Plos Computational Biology. 2016. Vol. 12, p. e1004761. DOI : 10.1371/journal.pcbi.1004761.Brief wide-field photostimuli evoke and modulate oscillatory reverberating activity in cortical networks
Scientific Reports. 2016. Vol. 6, p. 24701. DOI : 10.1038/srep24701.Tight Coupling of Astrocyte pH Dynamics to Epileptiform Activity Revealed by Genetically Encoded pH Sensors
The Journal of neuroscience. 2016. Vol. 36, num. 26, p. 7002 – 7013. DOI : 10.1523/Jneurosci.0664-16.2016.2015
Anti-Obesity and Anti-Hyperglycemic Effects of Cinnamaldehyde via altered Ghrelin Secretion and Functional impact on Food Intake and Gastric Emptying
Scientific Reports. 2015. Vol. 5, p. 7919. DOI : 10.1038/srep07919.Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron
Frontiers In Cellular Neuroscience. 2015. Vol. 9, p. 233. DOI : 10.3389/fncel.2015.00233.Comments on the paper by Horowitz et al. (2014)
Brain Structure & Function. 2015. Vol. 220, num. 3, p. 1789 – 1790. DOI : 10.1007/s00429-014-0974-7.Organization and evolution of parieto-frontal processing streams in macaque monkeys and humans
Neuroscience And Biobehavioral Reviews. 2015. Vol. 56, p. 73 – 96. DOI : 10.1016/j.neubiorev.2015.06.014.An Exclusion Zone for Ca2+ Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse
PLoS Computational Biology. 2015. Vol. 11, num. 5, p. e1004253. DOI : 10.1371/journal.pcbi.1004253.Duration of Purkinje cell complex spikes increases with their firing frequency
Frontiers In Cellular Neuroscience. 2015. Vol. 9, p. 122. DOI : 10.3389/fncel.2015.00122.Carbon-based smart nanomaterials in biomedicine and neuroengineering (vol 5, pg 1849, 2014)
Beilstein Journal Of Nanotechnology. 2015. Vol. 6, p. 499 – 499. DOI : 10.3762/bjnano.6.51.Large Volume Imaging of Rodent Brain Anatomy with Emphasis on Selective Plane Illumination Microscopy
Lausanne, EPFL, 2015.An algorithm to predict the connectome of neural microcircuits
Frontiers In Computational Neuroscience. 2015. Vol. 9, p. 120. DOI : 10.3389/fncom.2015.00120.Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity
Frontiers In Computational Neuroscience. 2015. Vol. 8, p. 175. DOI : 10.3389/fncom.2014.00175.The future of human cerebral cartography: a novel approach
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 2015. Vol. 370, num. 1668, p. 20 – 32. DOI : 10.1098/rstb.2014.0171.Network-timing-dependent plasticity
Frontiers in cellular neuroscience. 2015. Vol. 9, p. 220. DOI : 10.3389/fncel.2015.00220.A versatile clearing agent for multi-modal brain imaging
Scientific Reports. 2015. Vol. 5, num. 9808, p. 1 – 9. DOI : 10.1038/srep09808.Predictable enriched environment prevents development of hyper-emotionality in the VPA rat model of autism
Frontiers in Neuroscience. 2015. Vol. 9, num. 127, p. 127. DOI : 10.3389/fnins.2015.00127.Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models
Plos Computational Biology. 2015. Vol. 11, num. 4, p. e1004275. DOI : 10.1371/journal.pcbi.1004275.Cell-type- and activity-dependent extracellular correlates of intracellular spiking
Journal of Neurophysiology. 2015. Vol. 114, num. 1, p. 608 – 23. DOI : 10.1152/jn.00628.2014.2014
The In-Silico Neocortical Microcircuit : From Structure to Dynamics
Lausanne, EPFL, 2014.Synaptic and cellular organization of layer 1 of the developing rat somatosensory cortex
Frontiers In Neuroanatomy. 2014. Vol. 7, p. 52. DOI : 10.3389/fnana.2013.00052.Dampened neural activity and abolition of epileptic-like activity in cortical slices by active ingredients of spices
Scientific Reports. 2014. Vol. 4, p. 6825. DOI : 10.1038/srep06825.The death of Cajal and the end of scientific romanticism and individualism
Trends In Neurosciences. 2014. Vol. 37, num. 10, p. 525 – 527. DOI : 10.1016/j.tins.2014.08.002.Single-cell RT-PCR, a technique to decipher the electrical, anatomical, and genetic determinants of neuronal diversity
Patch-Clamp Methods and Protocols; Springer, 2014. p. 143 – 158.Scalable Exploration of Spatial Data in Large-Scale Scientific Simulations
Lausanne, EPFL, 2014.2013
Preserving axosomatic spiking features despite diverse dendritic morphology
Journal Of Neurophysiology. 2013. Vol. 109, num. 12, p. 2972 – 2981. DOI : 10.1152/jn.00048.2013.A computer-assisted multi-electrode patch-clamp system
Journal of visualized experiments : JoVE. 2013. num. 80, p. e50630. DOI : 10.3791/50630.Nlgn4 knockout induces network hypo-excitability in juvenile mouse somatosensory cortex in vitro
Scientific Reports. 2013. Vol. 3, p. 2897. DOI : 10.1038/srep02897.General developmental health in the VPA-rat model of autism
Frontiers In Behavioral Neuroscience. 2013. Vol. 7, p. 88. DOI : 10.3389/fnbeh.2013.00088.One minute with … Henry Markram
New Scientist. 2013. Vol. 217, num. 2903, p. 29 – 29.Network Activity and Plasticity
Lausanne, EPFL, 2013.Matched Pre- and Post-Synaptic Changes Underlie Synaptic Plasticity over Long Time Scales
The Journal of neuroscience. 2013. Vol. 33, num. 15, p. 6257 – 6266. DOI : 10.1523/Jneurosci.3740-12.2013.Hyper-emotional neurophysiology in a rat model of autism
Lausanne, EPFL, 2013.A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis
Cerebral Cortex. 2013. Vol. 23, num. 12, p. 2994 – 3006. DOI : 10.1093/cercor/bhs290.New insights into the classification and nomenclature of cortical GABAergic interneurons
Nature Reviews Neuroscience. 2013. Vol. 14, num. 3, p. 202 – 216. DOI : 10.1038/nrn3444.Computing the size and number of neuronal clusters in local circuits
Frontiers In Neuroanatomy. 2013. Vol. 7, p. 1. DOI : 10.3389/fnana.2013.00001.Synaptic and Cellular Organization of Layer 1 of the Developing Rat Somatosensory Cortex
Lausanne, EPFL, 2013.A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents
Neuron. 2013. Vol. 79, num. 2, p. 375 – 390. DOI : 10.1016/j.neuron.2013.05.023.2012
A neuron membrane mesh representation for visualization of electrophysiological simulations
IEEE transactions on visualization and computer graphics. 2012. Vol. 18, num. 2, p. 214 – 27. DOI : 10.1109/TVCG.2011.55.Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2012. Vol. 109, num. 42, p. E2885 – 94. DOI : 10.1073/pnas.1202128109.The neocortical column
Frontiers In Neuroanatomy. 2012. Vol. 6, p. 22. DOI : 10.3389/fnana.2012.00022.Spike-timing-dependent plasticity: a comprehensive overview
Frontiers in synaptic neuroscience. 2012. Vol. 4, p. 2. DOI : 10.3389/fnsyn.2012.00002.The human brain project
Scientific American. 2012. Vol. 306, num. 6, p. 50 – 5.Short-term ionic plasticity at GABAergic synapses
Frontiers in synaptic neuroscience. 2012. Vol. 4, p. 5. DOI : 10.3389/fnsyn.2012.00005.Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections
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
PloS One. 2012. Vol. 7, num. 4, p. e34786. DOI : 10.1371/journal.pone.0034786.2011
Organizing neural networks
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2011.Engineering Neuron Models : from Ion Channels to Electrical Behavior
Lausanne, EPFL, 2011.Augmenting cognition
Lausanne: EPFL Press, 2011.Encoding and decoding of information
ES2823253; EP3771103; EP2460276; CN104901702; KR101734596; JP5848414; CN104901702; CN102648582; US8941512; JP2014209794; JP5587412; JP2013500660; US2012313798; US8253607; CN102648582; EP2460276; US2012119926; KR20120046760; US8159373; WO2011012614; WO2011012158; WO2011012614; US2011025532.
2011.Predictive Engineering the Membrane Composition of Neocortical Neurons
Lausanne, EPFL, 2011.Emergent Properties of in silico Synaptic Transmission in a Model of the Rat Neocortical Column
Lausanne, EPFL, 2011.Channelpedia: an integrative and interactive database for ion channels
Frontiers in neuroinformatics. 2011. Vol. 5, p. 36. DOI : 10.3389/fninf.2011.00036.Innate neural assemblies for lego memory
Frontiers in neural circuits. 2011. Vol. 5, p. 6. DOI : 10.3389/fncir.2011.00006.Ephaptic coupling of cortical neurons
Nature neuroscience. 2011. Vol. 14, num. 2, p. 217 – 23. DOI : 10.1038/nn.2727.Newsmaker interview: Heny Markram Blue Brain founder responds to critics, clarifies his goals
Science. 2011. Vol. 334, num. 6057, p. 748 – 749. DOI : 10.1126/science.334.6057.748.Effective Stimuli for Constructing Reliable Neuron Models
Plos Computational Biology. 2011. Vol. 7, num. 8, p. e1002133. DOI : 10.1371/journal.pcbi.1002133.A history of spike-timing-dependent plasticity
Frontiers in Synaptic Neuroscience. 2011. Vol. 3, num. 4, p. 1 – 24. DOI : 10.3389/fnsyn.2011.00004.Morphological development of thick-tufted layer v pyramidal cells in the rat somatosensory cortex
Frontiers in neuroanatomy. 2011. Vol. 5, p. 5. DOI : 10.3389/fnana.2011.00005.Frontiers research : seek, share & create
Common knowledge : the challenge of transdisciplinarity; Lausanne, Switzerland: EPFL Press, 2011. p. 145 – 162.Introducing the Human Brain Project
2011. 2nd European Future Technologies Conference and Exhibition (FET), Budapest, HUNGARY, May 04-06, 2011. p. 39 – 42. DOI : 10.1016/j.procs.2011.12.015.A synaptic organizing principle for cortical neuronal groups
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2011. Vol. 108, num. 13, p. 5419 – 24. DOI : 10.1073/pnas.1016051108.Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties
PLoS Computational Biology. 2011. Vol. 7, num. 7, p. e1002107. DOI : 10.1371/journal.pcbi.1002107.A Pipeline Based Approach for Experimental Neuroscience Data Management
Lausanne, EPFL, 2011.2010
Emergent Connectivity Principles in the Neocortex
Lausanne, EPFL, 2010.Brief Bursts Self-Inhibit and Correlate the Pyramidal Network
Plos Biology. 2010. Vol. 8, num. 9, p. e1000473. DOI : 10.1371/journal.pbio.1000473.Emergent Dynamics in Neocortical Microcircuits
Lausanne, EPFL, 2010.The intense world theory – a unifying theory of the neurobiology of autism
Frontiers in human neuroscience. 2010. Vol. 4, p. 224. DOI : 10.3389/fnhum.2010.00224.Impact of Carbon-Nanotube Substrate Coating in Neuronal Networks
Lausanne, EPFL, 2010.Diminished activity-dependent brain-derived neurotrophic factor expression underlies cortical neuron microcircuit hypoconnectivity resulting from exposure to mutant huntingtin fragments
The Journal of pharmacology and experimental therapeutics. 2010. Vol. 335, num. 1, p. 13 – 22. DOI : 10.1124/jpet.110.167551.2009
A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON
Frontiers in neuroinformatics. 2009. Vol. 3, p. 10. DOI : 10.3389/neuro.11.010.2009.Properties of neocortical microcircuits
Lausanne, EPFL, 2009.Frequency-dependent disynaptic inhibition in the pyramidal network: a ubiquitous pathway in the developing rat neocortex
Journal Of Physiology-London. 2009. Vol. 587, p. 5411 – 5425. DOI : 10.1113/jphysiol.2009.176552.Carbon nanotubes might improve neuronal performance by favouring electrical shortcuts
Nature Nanotechnology. 2009. Vol. 4, p. 126 – 133. DOI : 10.1038/NNANO.2008.374.Structure and function of the olfactory bulb microcircuit
Lausanne, EPFL, 2009.Multiquantal release underlies the distribution of synaptic efficacies in the neocortex
Frontiers in computational neuroscience. 2009. Vol. 3, p. 27. DOI : 10.3389/neuro.10.027.2009.Enhanced long-term microcircuit plasticity in the valproic Acid animal model of autism
Frontiers in synaptic neuroscience. 2009. Vol. 1, p. 1. DOI : 10.3389/neuro.19.001.2009.Substrate arrays of iridium oxide microelectrodes for in-vitro neuronal interfacing
Frontiers in Neuroengineering. 2009. Vol. 2, p. 1.1 – 1.7. DOI : 10.3389/neuro.16.001.2009.2008
Slow oscillations in neural networks with facilitating synapses
Journal of computational neuroscience. 2008. Vol. 25, num. 2, p. 308 – 316. DOI : 10.1007/s10827-008-0080-z.Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons
Biological Cybernetics. 2008. Vol. 99, num. 4-5, p. 427 – 41. DOI : 10.1007/s00422-008-0263-8.Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis
J Comput Neurosci. 2008. Vol. 24, num. 3, p. 330 – 345. DOI : 10.1007/s10827-007-0058-2.Fixing the location and dimensions of functional neocortical columns
HFSP journal. 2008. Vol. 2, num. 3, p. 132 – 5. DOI : 10.2976/1.2919545.Fully implicit parallel simulation of single neurons
Journal of computational neuroscience. 2008. Vol. 25, num. 3, p. 439 – 48. DOI : 10.1007/s10827-008-0087-5.Identifying, tabulating, and analyzing contacts between branched neuron morphologies
IBM Journal of Research and Development. 2008. Vol. 52, num. 1/2, p. 43 – 55. DOI : 10.1147/rd.521.0043.Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data
Biological Cybernetics. 2008. Vol. 99, num. 4-5, p. 371 – 9. DOI : 10.1007/s00422-008-0269-2.Hyper-connectivity and hyper-plasticity in the medial prefrontal cortex in the valproic Acid animal model of autism
Frontiers in neural circuits. 2008. Vol. 2, p. 4. DOI : 10.3389/neuro.04.004.2008.Abnormal fear conditioning and amygdala processing in an animal model of autism
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2008. Vol. 33, num. 4, p. 901 – 12. DOI : 10.1038/sj.npp.1301453.2007
A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data
Front. Neurosci.. 2007. Vol. 1, num. 1, p. 7 – 18. DOI : 10.3389/neuro.01.1.1.001.2007.Industrializing neuroscience
Nature. 2007. Vol. 445, num. 7124, p. 160 – 1. DOI : 10.1038/445160a.Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells
Neuron. 2007. Vol. 53, num. 5, p. 735 – 46. DOI : 10.1016/j.neuron.2007.02.012.Methods For Treating And/Or Preventing Pervasive Developmental Disorders In A Subject
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