User profiles for G. Drion
Guillaume DrionULg/Brandeis University Verified email at ulg.ac.be Cited by 1087 |
Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance
Despite advances in experimental and theoretical neuroscience, we are still trying to identify
key biophysical details that are important for characterizing the operation of brain circuits. …
key biophysical details that are important for characterizing the operation of brain circuits. …
Control across scales by positive and negative feedback
… For the sake of mathematical tractability, we follow the approach described by Drion et al.
(16). We assume an infinitesimal step change around a fixed potential V and approximate the …
(16). We assume an infinitesimal step change around a fixed potential V and approximate the …
Ion channel degeneracy enables robust and tunable neuronal firing rates
Firing rate is an important means of encoding information in the nervous system. To reliably
encode a wide range of signals, neurons need to achieve a broad range of firing frequencies …
encode a wide range of signals, neurons need to achieve a broad range of firing frequencies …
[HTML][HTML] How modeling can reconcile apparently discrepant experimental results: the case of pacemaking in dopaminergic neurons
G Drion, L Massotte, R Sepulchre… - PLoS Computational …, 2011 - journals.plos.org
… , however, the neuron produces only one action potential per oscillation cycle of , which
results in low-frequency single-spike firing rather than bursting in in vitro-like conditions (Drion et…
results in low-frequency single-spike firing rather than bursting in in vitro-like conditions (Drion et…
Implications of cellular models of dopamine neurons for disease
This review addresses the present state of single-cell models of the firing pattern of
midbrain dopamine neurons and the insights that can be gained from these models into the …
midbrain dopamine neurons and the insights that can be gained from these models into the …
[HTML][HTML] A balance equation determines a switch in neuronal excitability
We use the qualitative insight of a planar neuronal phase portrait to detect an excitability
switch in arbitrary conductance-based models from a simple mathematical condition. The …
switch in arbitrary conductance-based models from a simple mathematical condition. The …
[HTML][HTML] Introducing neuromodulation in deep neural networks to learn adaptive behaviours
Animals excel at adapting their intentions, attention, and actions to the environment, making
them remarkably efficient at interacting with a rich, unpredictable and ever-changing …
them remarkably efficient at interacting with a rich, unpredictable and ever-changing …
An organizing center in a planar model of neuronal excitability
This paper studies the excitability properties of a generalized FitzHugh--Nagumo model. The
model differs from the classical FitzHugh--Nagumo model in that it accounts for the effect of …
model differs from the classical FitzHugh--Nagumo model in that it accounts for the effect of …
Robust and tunable bursting requires slow positive feedback
We highlight that the robustness and tunability of a bursting model critically rely on currents
that provide slow positive feedback to the membrane potential. Such currents have the ability …
that provide slow positive feedback to the membrane potential. Such currents have the ability …
M‐type channels selectively control bursting in rat dopaminergic neurons
G Drion, M Bonjean, O Waroux… - European Journal of …, 2010 - Wiley Online Library
M‐type channels selectively control bursting in rat dopaminergic neurons - Drion - 2010 - …
Briefly, male Wistar rats (150–200 g) were anesthetized with chloral hydrate (400 mg/kg, ip) …
Briefly, male Wistar rats (150–200 g) were anesthetized with chloral hydrate (400 mg/kg, ip) …