Παρακολούθηση
Michael Graupner, PhD
Michael Graupner, PhD
Saints-Pères Paris Institute for the Neurosciences, CNRS UMR 8003, Université Paris Descartes
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα parisdescartes.fr - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location
M Graupner, N Brunel
Proceedings of the National Academy of Sciences 109 (10), 3991-3996, 2012
4042012
Co-activation of VTA DA and GABA neurons mediates nicotine reinforcement
S Tolu, R Eddine, F Marti, V David, M Graupner, S Pons, M Baudonnat, ...
Molecular psychiatry 18 (3), 382-393, 2013
1782013
STDP in a bistable synapse model based on CaMKII and associated signaling pathways
M Graupner, N Brunel
PLoS computational biology 3 (11), e221, 2007
1722007
Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models
M Graupner, N Brunel
Frontiers in computational neuroscience 4, 136, 2010
1232010
Synaptic input correlations leading to membrane potential decorrelation of spontaneous activity in cortex
M Graupner, AD Reyes
Journal of Neuroscience 33 (38), 15075-15085, 2013
822013
A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex
G Chindemi, M Abdellah, O Amsalem, R Benavides-Piccione, V Delattre, ...
Nature Communications 13 (1), 3038, 2022
652022
Natural firing patterns imply low sensitivity of synaptic plasticity to spike timing compared with firing rate
M Graupner, P Wallisch, S Ostojic
Journal of Neuroscience 36 (44), 11238-11258, 2016
652016
Memory maintenance in synapses with calcium-based plasticity in the presence of background activity
D Higgins, M Graupner, N Brunel
PLoS Computational Biology 10 (10), e1003834, 2014
402014
Short-term depression and long-term plasticity together tune sensitive range of synaptic plasticity
N Deperrois, M Graupner
PLoS computational biology 16 (9), e1008265, 2020
382020
Updating temporal expectancy of an aversive event engages striatal plasticity under amygdala control
G Dallérac, M Graupner, J Knippenberg, RCR Martinez, TF Tavares, ...
Nature communications 8 (1), 13920, 2017
372017
A theory of plasma membrane calcium pump stimulation and activity
M Graupner, F Erler, M Meyer-Hermann
Journal of biological physics 31, 183-206, 2005
342005
Endogenous cholinergic inputs and local circuit mechanisms govern the phasic mesolimbic dopamine response to nicotine
M Graupner, R Maex, B Gutkin
PLoS computational biology 9 (8), e1003183, 2013
332013
Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms
M Graupner, B Gutkin
Acta Pharmacologica Sinica 30 (6), 681-693, 2009
312009
Computational approaches to the neurobiology of drug addiction
SH Ahmed, M Graupner, B Gutkin
Pharmacopsychiatry 42 (S 01), S144-S152, 2009
312009
A theory of plasma membrane calcium pump function and its consequences for presynaptic calcium dynamics
M Graupner
Master's thesis, Dresden University of Technology, 2003
162003
Beyond freezing: temporal expectancy of an aversive event engages the amygdalo–prefronto–dorsostriatal network
L Tallot, M Graupner, L Diaz-Mataix, V Doyère
Cerebral Cortex 30 (10), 5257-5269, 2020
132020
Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location (vol 109, pg 3991, 2012)
M Graupner, N Brunel
Proceedings of the National Academy of Sciences of the United States of …, 2012
92012
Synergism of type 1 metabotropic and ionotropic glutamate receptors in cerebellar molecular layer interneurons in vivo
J Bao, M Graupner, G Astorga, T Collin, A Jalil, DW Indriati, J Bradley, ...
Elife 9, e56839, 2020
42020
Modeling synaptic plasticity in hippocampus: a calcium-based approach
M Graupner, N Brunel
Hippocampal Microcircuits: A Computational Modeler's Resource Book, 615-644, 2018
42018
Nicotine control of dopamine signaling in the Ventral Tegmental Area
M Graupner, B Gutkin
Deuxième conférence française de Neurosciences Computationnelles," Neurocomp08", 2008
32008
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