Renaud Jolivet

Orcid: 0000-0002-5167-0851

According to our database1, Renaud Jolivet authored at least 14 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2024
Simulation of Epileptic Seizure Suppression through Extracellular Potassium Modulation.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2024

2023
Modelling homeostatic plasticity in the auditory cortex results in neural signatures of tinnitus.
NeuroImage, May, 2023

2021
Editorial: Advances in Computational Neuroscience.
Frontiers Comput. Neurosci., 2021

2020
Modelling Neuromodulated Information Flow and Energetic Consumption at Thalamic Relay Synapses.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Energy-efficient information transfer at thalamocortical synapses.
PLoS Comput. Biol., 2019

2015
Multi-timescale Modeling of Activity-Dependent Metabolic Coupling in the Neuron-Glia-Vasculature Ensemble.
PLoS Comput. Biol., 2015

2012
Impact of Frequency on the Energetic Efficiency of Action Potentials.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2010
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
The quantitative single-neuron modeling competition.
Biol. Cybern., 2008

Special issue on quantitative neuron modeling.
Biol. Cybern., 2008

2007
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments.
Neurocomputing, 2007

2006
Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
J. Comput. Neurosci., 2006

2005
Integrate-and-Fire models with adaptation are good enough.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2003
The Spike Response Model: A Framework to Predict Neuronal Spike Trains.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003


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