Destexhe, Alain - Unit� de Neurosciences Int�gratives et Computationnelles, CNRS

Advanced Search

Destexhe, Alain - Unit� de Neurosciences Int�gratives et Computationnelles, CNRS

Supplementary information to Rudolph et al., J. Neurosci, 2007. 25 Supplementary Information
Cortical Feedback Controls the Frequency and Synchrony of Oscillations in the Visual Thalamus
CORTICALLY-INDUCED COHERENCE OF A THALAMIC-GENERATED OSCILLATION
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and
Spatiotemporal Patterns of Spindle Oscillations in Cortex and Thalamus
LETTER Communicated by Andre Longtin Characterization of Subthreshold Voltage Fluctuations in
Synaptic "noise": Experiments, computational consequences and methods to analyze experimental data
arXiv:submit/0178487[q-bio.NC]12Jan2011 Noname manuscript No. (will be inserted by the editor)
Cortico-thalamic feedback: a key to explain absence seizures Alain Destexhe
INHIBITORY CONTROL OF SOMATODENDRITIC INTERACTIONS UNDERLYING ACTION POTENTIALS IN
Letter to Neuroscience SPINDLE OSCILLATIONS DURING CORTICAL SPREADING
Mechanisms Underlying the Synchronizing Action of Corticothalamic Feedback Through Inhibition of Thalamic Relay Cells
Characterization of Synaptic Conductances and Integrative Properties During Electrically Induced EEG-Activated States in Neocortical Neurons In Vivo
After online publication, subscribers (personal/institutional) to this journal will have access to the complete article via the DOI using the URL
Spike-and-Wave Oscillations Based on the Properties of GABAB Receptors
Journal of Computational Neuroscience 14, 239251, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.
In: Computational Neuroscience: Realistic Modeling for Experimentalists Edited by E. De Schutter, CRC Press.
Neurocomputing 5254 (2003) 907912 www.elsevier.com/locate/neucom
In: Computational Models of Molecular and Cellular Interactions Edited by J. Bower and H. Bolouri
*Corresponding author. E-mail address: bal@iaf.cnrs-gif.fr (D. Debay).
NATURE REVIEWS | NEUROSCIENCE VOLUME 4 | SEPTEMBER 2003 | 739 R E V I E W S
J Comput Neurosci (2010) 29:405421 DOI 10.1007/s10827-010-0263-2
J Comput Neurosci (2010) 29:389403 DOI 10.1007/s10827-010-0250-7
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
Frontiers in Cellular Neuroscience www.frontiersin.org March 2010 | Volume 4 | Article 9 | 1 CELLULAR NEUROSCIENCE
J Comput Neurosci (2009) 27:493506 DOI 10.1007/s10827-009-0164-4
Macroscopic Models of Local Field Potentials and the Apparent 1/f Noise in Brain Activity
Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations O. Marre, S. El Boustani, Y. Fregnac, and A. Destexhe*
State Dependence of Network Output: Modeling and Experiments
A Modified Cable Formalism for Modeling Neuronal Membranes at High Frequencies
High-resolution intracellular recordings using a real-time computational model of the electrode
NOTE Communicated by Peter Thomas On the Use of Analytical Expressions for the Voltage
Does the 1=f Frequency Scaling of Brain Signals Reflect Self-Organized Critical States? C. Bedard,1,2
Inferring network activity from synaptic noise Michael Rudolph, Alain Destexhe *
Journal of Computational Neuroscience 17, 327345, 2004 c 2004 Kluwer Academic Publishers. Manufactured in The Netherlands.
Interactions Between Membrane Conductances Underlying Thalamocortical Slow-Wave Oscillations
THE DISCHARGE VARIABILITY OF NEOCORTICAL NEURONS DURING HIGH-CONDUCTANCE STATES
A Fast-Conducting, Stochastic Integrative Mode for Neocortical Neurons In Vivo
Published online 1 November 2002 The initiation of bursts in thalamic neurons and the
Thalamus & Related Systems 1 (2001) 3952 Dendritic organization in thalamocortical neurons and state-dependent
Impact of Network Activity on the Integrative Properties of Neocortical Pyramidal Neurons In Vivo
Dendritic Low-Threshold Calcium Currents in Thalamic Relay Cells Alain Destexhe,1 Mike Neubig,1 Daniel Ulrich,2 and John Huguenard2
Impact of Spontaneous Synaptic Activity on the Resting Properties of Cat Neocortical Pyramidal Neurons In Vivo
Modeling local field potentials and their interaction with the extracellular medium
Yves Frgnac et al 13/05/06 Complexity in Neural Networks Complexity in Neuronal Networks
Neurocomputing 69 (2006) 11301133 Event-based simulation strategy for conductance-based synaptic
Neurocomputing 6566 (2005) 673678 Reconstructing synaptic background activity
Neurocomputing 5860 (2004) 285290 www.elsevier.com/locate/neucom
Neurocomputing 5254 (2003) 233238 www.elsevier.com/locate/neucom
*Corresponding author. UniteH de Neurosciences InteH gratives et Computationnelles, CNRS, UPR-2191, Avenue de la Terrasse, 91198 Gif-sur-Yvette, France.
*Corresponding author. Present address: UNIC, Institut de Neurobiologie Alfred Fessard, CNRS, Avenue de la Terrasse, 91128 Gif-sur-Yvette, France. Tel.: #00-1-418-656-5711; fax: #00-1-418-656-7898.
*Corresponding author. Present address: UNIC, Institut de Neurobiologie Alfred Fessard, CNRS, Avenue de la Terrasse, 91128 Gif-sur-Yvette, France. Tel.:#1-418-656-5711; fax: #1-418-656-7898.
*Corresponding address: Salk Institute } CNL, 10010 N. Torrey Pines Road, La Jolla, CA 92037, USA. Tel.: #858-453-4100X1124; fax: #1-858-587-0417.
COMPUTATIONAL MODELS CONSTRAINED BY VOLTAGE-CLAMP DATA FOR INVESTIGATING DENDRITIC CURRENTS
In: The Handbook of Brain Theory and Neural Networks (2nd ed) edited by M.A. Arbib, MIT press, Cambridge (2002)
Supplementary Information This document contains supplementary information related to the following paper
Nonlinear Dynamics of the Rhythmical Activity of the Brain: Summary of the
Journal of Computational Neuroscience manuscript No. (will be inserted by the editor)
Neuron, Volume 59 Supplemental Data
Editorial Focus Noise in the Foreground. Focus on "A Method to Estimate Synaptic
During sleep, the mammalian brain generates an orderly progres-sion of low frequency oscillations. The nature of these oscillations
Hyperpolarization-activated graded persistent activity in the prefrontal cortex
>springer.com BI O M E D I C I N E
Biol Cybern (2007) 97:8197 DOI 10.1007/s00422-007-0155-3
Model of low-pass filtering of local field potentials in brain tissue C. Bdard,1
Current Opinion in Neurobiology, in press, 2011. Special issue "Networks, Circuits and Computation", edited by Feldman D., Feller M. and Dayan P.
Biol Cybern (2011) 104:263296 DOI 10.1007/s00422-011-0435-9
Neurocomputing 70 (2007) 19661969 How much can we trust neural simulation strategies?
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
Neurocomputing 6566 (2005) 901906 Extracting information from the power spectrum
Network-State Modulation of Power-Law Frequency-Scaling in Visual Cortical Neurons
Sleep and Sleep States: Thalamic Regulation A Destexhe, Centre National de la Recherche
In: The Handbook of Brain Theory and Neural Networks (2nd ed) edited by M.A. Arbib, MIT press, Cambridge (2002)
Journal of Computational Neuroscience 11, 1942, 2001 c 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
In: Methods in Neuronal Modeling 2nd Edition, Edited by Koch, C. and Segev, I.
Journal of Computational Neuroscience 9, 259270, 2000 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands.
Brain Research 886 (2000) 208223 www.elsevier.com/locate/bres
Eur. Phys. J. B 52, 125132 (2006) DOI: 10.1140/epjb/e2006-00261-3 THE EUROPEAN
Network: Computation in Neural Systems September 2006; 17(3): 211233
in: The Handbook of Brain Theory and Neural Networks, Editor Michael A. Arbib, MIT press, 1995.
J Comput Neurosci (2007) 23:349398 DOI 10.1007/s10827-007-0038-6
Neurocomputing 38}40 (2001) 555}563 LTS cells in cerebral cortex and their role in
Modeling Extracellular Field Potentials and the Frequency-Filtering Properties of Extracellular Space
Behavioral/Systems/Cognitive Inhibition Determines Membrane Potential Dynamics and
Synaptic Background Activity Enhances the Responsiveness of Neocortical Pyramidal Neurons
FLUCTUATING SYNAPTIC CONDUCTANCES RECREATE IN VIVO-LIKE ACTIVITY IN NEOCORTICAL NEURONS
Supporting Information Winograd et al. 10.1073/pnas.0800360105
This article was originally published in the Encyclopedia of Neuroscience published by Elsevier, and the attached copy is provided by Elsevier for the
INMED/TINS special issue Are corticothalamic `up' states
LETTER Communicated by Arnaud Delorme Analytical Integrate-and-Fire Neuron Models with
Can Power-Law Scaling and Neuronal Avalanches Arise from Stochastic Dynamics?
Proc. Nail. Acad. Sci. USA Vol. 83, pp. 3513-3517, May 1986
DENDRITIC CALCIUM CURRENTS IN THALAMIC RELAY CELLS Mike Neubig,1
*Corresponding author. UniteH de Neurosciences InteH gratives et Computationnelles, CNRS, UPR-2191, Avenue de la Terrasse, 91198, Gif-sur-Yvette, France.
Intracellular and Computational Characterization of the Intracortical Inhibitory Control of Synchronized Thalamic Inputs In Vivo
DUAL INTRACELLULAR RECORDINGS AND COMPUTATIONAL MODELS OF SLOW INHIBITORY POSTSYNAPTIC POTENTIALS IN
J.A. Reggia, E. Ruppin and D. Glanzman (Eds.) Progress in Bmin Research, Vol 121
SYNAPTIC BACKGROUND NOISE CONTROLS THE INPUT/OUTPUT CHARACTERISTICS OF SINGLE CELLS IN AN IN VITRO MODEL OF
High-resolution intracellular recordings using a real-time interaction between the neuron and a
97:2544-2552, 2007. First published Dec 6, 2006; doi:10.1152/jn.01000.2006J Neurophysiol Alain Destexhe
2.5 5 7.5 10 (spikes/sec)
he nervous system shows considerable plasticity, allowing animals to adapt to changing internal
Neurocomputing 5860 (2004) 387392 www.elsevier.com/locate/neucom
Neurocomputing 4446 (2002) 141146 www.elsevier.com/locate/neucom
JOURNALOFNEUROPHYSIOLOGY Vol. 72, No. 2, August 1994. Printed in C'.S.A.
VOLUME 86, NUMBER 16 P H Y S I C A L R E V I E W L E T T E R S 16 APRIL 2001 Correlation Detection and Resonance in Neural Systems with Distributed Noise Sources
67. P. Poirazi, T. Brannon, B. W. Mel, Neuron 37, 989 68. J. Golowasch, M. S. Goldman, L. F. Abbott, E. Marder,
Dynamic Interactions Determine Partial Thalamic Quiescence in a Computer Network Model of Spike-and-Wave Seizures
JOURNALOF NEUROPHYSIOLOGY Vol. 76, No. 3, September 1996. Printed in U.S.A.
NOTE Communicated by Paul Tiesinga An Extended Analytic Expression for the Membrane Potential
Neurocomputing 6566 (2005) 641646 Multi-channel shot noise and characterization of
Supplementary information on methods To Wolfart et al. Nat. Neurosci. (2005)
The Journal of Neuroscience, January 1, 1996, 16(1):169-185 In Viva, ln V&o, and Computational Analysis of Dendritic Calcium
Innovative Methodology A Method to Estimate Synaptic Conductances From Membrane Potential
Neurocomputing 69 (2006) 11371140 Real-time simulations of networks of HodgkinHuxley neurons using
In: Thalamus, Volume II, Edited by Steriade, M., Jones, E.G, and McCormick, D.A.
Neurocomputing 4446 (2002) 147152 www.elsevier.com/locate/neucom
Thalamus & Related Systems 2 (2003) 153168 Variability of quantal synaptic currents in thalamocortical neurons
International Journal of Bifurcation and Chaos, Vol. 20, No. 6 (2010) 16871702 c World Scientific Publishing Company
LETTER Communicated by Arvind Kumar A Master Equation Formalism for Macroscopic Modeling
SOMATO-DENDRITIC INTERACTIONS UNDERLYING ACTION POTENTIAL GENERATION IN NEOCORTICAL PYRAMIDAL CELLS
Spatiotemporal Analysis of Local Field Potentials and Unit Discharges in Cat Cerebral Cortex during Natural Wake and
Phil. Trans. R. Soc. A (2011) 369, 38023819 doi:10.1098/rsta.2011.0119
Biological Cybernetics manuscript No. (will be inserted by the editor)
Inhibition recruitment in prefrontal cortex during sleep spindles and gating of hippocampal inputs
Supplementary materials and methods. Electrophysiological procedures and spike sorting.
Please cite this article in press as: Bdard C, et al. Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordings. J Neurosci Methods (2011), doi:10.1016/j.jneumeth.2011.09.010
Development/Plasticity/Repair Stable Learning in Stochastic Network States
Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep
Neural Comput., 2012 Analytical integrate-and-fire neuron models with