Olivier Hagens

École Polytechnique Fédérale de Lausanne — Switzerland

Neuroscience · Life Sciences

5h-index319citations17works0.02yr avg
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Research Topics

Neural dynamics and brain function(7), Advanced Memory and Neural Computing(5), Computational Physics and Python Applications(5), Data Visualization and Analytics(4), Neuroscience and Neural Engineering(4)

Publications17 total

DEVILS: a tool for the visualization of large datasets with a high dynamic range
F1000Research·2021· 2 citedOpen Access
DEVILS: a tool for the visualization of large datasets with a high dynamic range
F1000Research·2020· 2 citedOpen Access
DEVILS: a tool for the visualization of large datasets with a high dynamic range
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
DEVILS: a tool for the visualization of large datasets with a high dynamic range
Figshare·2020Open Access
DEVILS: a tool for the visualization of large datasets with a high dynamic range
Figshare·2020Open Access
DEVILS: a tool for the visualization of large datasets with a high dynamic range
2020Open Access
DEVILS: a tool for the visualization of large datasets with a high dynamic range [version 2; peer review: 2 approved]
Europe PMC (PubMed Central)·2020
Dataset Fig1, Fig3
Figshare·2020Open Access
Inferring and validating mechanistic models of neural microcircuits based on spike-train data
Nature Communications·2019· 36 citedOpen Access
The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow
PLoS Computational Biology·2018· 133 citedOpen Access
Inferring and validating mechanistic models of neural microcircuits based on spike-train data
2018· 10 citedOpen Access
Wistar Rat Hippocampus Ca1 Pyramidal Cell Morphologies
Figshare·2016Open Access
C57Bl/6J Mouse Hippocampus Ca1 Pyramidal Cell Morphologies
Zenodo (CERN European Organization for Nuclear Research)·2016Open Access
Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons
PLoS Computational Biology·2016· 37 citedOpen Access
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models
PLoS Computational Biology·2015· 98 citedOpen Access
Enhanced sensitivity to rapid input fluctuations by nonlinear threshold dynamics
Frontiers in Neuroscience·2015· 1 citedOpen Access
A nonlinear coupling between the firing threshold and the membrane potential enhances coding of rapid signals
Frontiers in Neuroinformatics·2013Open Access

Frequent Co-authors

Romain Guiet(7), Olivier Burri(7), Nicolas Chiaruttini(7), Arne Seitz(6), Skander Mensi(4), Maurizio Pezzoli(3), Henry Markram(3), Christian Pozzorini(2), Wulfram Gerstner(2), Josef Ladenbauer(2), Sam McKenzie(2), Daniel F. English(2), Srdjan Ostojic(2), Pozzorini Christian(2), Gerstner Wulfram(2), Rosanna Migliore(1), Carmen Alina Lupaşcu(1), Luca Bologna(1), Armando Romani(1), Jean-Denis Courcol(1)