Renaud Jolivet

Orcid: 0000-0002-5167-0851

According to our database1, Renaud Jolivet authored at least 13 papers between 2003 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

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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