Stanford University
Showing 16,431-16,440 of 35,013 Results
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Gail Lapidus
Senior Fellow at the Freeman Spogli Institute for International Studies, Emerita
Current Research and Scholarly Interestsethnic conflict in the former Soviet Union; the Russian-Chechen war; Soviet society, politics and foreign policy
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Paul Lapios
Affiliate, Howard Hughes Medical Inst
BioPaul Lapios; Robin Anger; Vincent Paget-Blanc; Esther Marza; Vladan Lucic; Rémi Fronzes; Etienne Herzog; David Perrais, Cryo-correlative light and electron tomography of dopaminergic axonal varicosities reveals non-synaptic modulation of cortico-striatal synapses, Nature Communications, 2025
Vincent Paget-Blanc#, Marlene E. Pfeffer#, Marie Pronot#, Paul Lapios, Maria-Florencia Angelo, Roman Walle, Fabrice P. Cordelières, Florian Levet, Stéphane Claverol, Sabrina Lacomme, Mélina Petrel, Christelle Martin, Vincent Pitard, Véronique De Smedt Peyrusse, Thomas Biederer, David Perrais, Pierre Trifilieff & Etienne Herzog, A synaptomic analysis reveals dopamine hub synapses in the mouse striatum, Nature Communications, 2022
Sonja Blumenstock#; Elena Katharina Schulz-Trieglaff#; Kerstin Voelkl; Anna-Lena Bolender; Paul Lapios; Jana Lindner; Mark S Hipp; F Ulrich Hartl; Rüdiger Klein; Irina Dudanova, Fluc-EGFP reporter mice reveal differential alterations of neuronal proteostasis in aging and disease, The EMBO Journal, 2021 -
Mathieu Lapôtre
Assistant Professor of Earth and Planetary Sciences and, by courtesy, of Geophysics and of Civil and Environmental Engineering
BioProf. Lapôtre leads the Earth & Planetary Surface Processes group. His research focuses on the physics behind sedimentary and geomorphic processes that shape planetary surfaces (including Earth's), and aims to untangle what sedimentary rocks tell us about the past hydrology, climate, and habitability of planets.
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Steeve Laquitaine
Affiliate, Psychology
BioPostdoctoral scientist in Computational Neuroscience. I study how biological and artificial neural networks integrate context with sensory information to shape decision-making, with a combination of psychophysics, high-dimensional analysis of fMRI and electrophysiology neural data, and data-constrained computational modeling.
