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Items: 15

1.

Introducing neuromodulation in deep neural networks to learn adaptive behaviours.

Vecoven N, Ernst D, Wehenkel A, Drion G.

PLoS One. 2020 Jan 27;15(1):e0227922. doi: 10.1371/journal.pone.0227922. eCollection 2020.

2.

Cellular switches orchestrate rhythmic circuits.

Drion G, Franci A, Sepulchre R.

Biol Cybern. 2019 Apr;113(1-2):71-82. doi: 10.1007/s00422-018-0778-6. Epub 2018 Sep 3.

PMID:
30178150
3.

Switchable slow cellular conductances determine robustness and tunability of network states.

Drion G, Dethier J, Franci A, Sepulchre R.

PLoS Comput Biol. 2018 Apr 23;14(4):e1006125. doi: 10.1371/journal.pcbi.1006125. eCollection 2018 Apr.

4.

Robust Modulation of Integrate-and-Fire Models.

Van Pottelbergh T, Drion G, Sepulchre R.

Neural Comput. 2018 Apr;30(4):987-1011. doi: 10.1162/neco_a_01065. Epub 2018 Jan 30.

5.

Robust and tunable bursting requires slow positive feedback.

Franci A, Drion G, Sepulchre R.

J Neurophysiol. 2018 Mar 1;119(3):1222-1234. doi: 10.1152/jn.00804.2017. Epub 2017 Dec 13.

6.

Implications of cellular models of dopamine neurons for disease.

Canavier CC, Evans RC, Oster AM, Pissadaki EK, Drion G, Kuznetsov AS, Gutkin BS.

J Neurophysiol. 2016 Dec 1;116(6):2815-2830. doi: 10.1152/jn.00530.2016. Epub 2016 Aug 31. Review.

7.

Interactions between calcium channels and SK channels in midbrain dopamine neurons and their impact on pacemaker regularity: Contrasting roles of N- and L-type channels.

de Vrind V, Scuvée-Moreau J, Drion G, Hmaied C, Philippart F, Engel D, Seutin V.

Eur J Pharmacol. 2016 Oct 5;788:274-279. doi: 10.1016/j.ejphar.2016.06.046. Epub 2016 Jun 27.

PMID:
27364758
8.

Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance.

Gjorgjieva J, Drion G, Marder E.

Curr Opin Neurobiol. 2016 Apr;37:44-52. doi: 10.1016/j.conb.2015.12.008. Epub 2016 Jan 15. Review.

9.

Dynamic Input Conductances Shape Neuronal Spiking

Drion G, Franci A, Dethier J, Sepulchre R.

eNeuro. 2015 Mar 25;2(1). pii: ENEURO.0031-14.2015. doi: 10.1523/ENEURO.0031-14.2015. eCollection 2015 Jan-Feb.

10.

Ion channel degeneracy enables robust and tunable neuronal firing rates.

Drion G, O'Leary T, Marder E.

Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):E5361-70. doi: 10.1073/pnas.1516400112. Epub 2015 Sep 9.

11.

A positive feedback at the cellular level promotes robustness and modulation at the circuit level.

Dethier J, Drion G, Franci A, Sepulchre R.

J Neurophysiol. 2015 Oct;114(4):2472-84. doi: 10.1152/jn.00471.2015. Epub 2015 Aug 26.

12.

A balance equation determines a switch in neuronal excitability.

Franci A, Drion G, Seutin V, Sepulchre R.

PLoS Comput Biol. 2013;9(5):e1003040. doi: 10.1371/journal.pcbi.1003040. Epub 2013 May 23.

13.

A novel phase portrait for neuronal excitability.

Drion G, Franci A, Seutin V, Sepulchre R.

PLoS One. 2012;7(8):e41806. doi: 10.1371/journal.pone.0041806. Epub 2012 Aug 8.

14.

How modeling can reconcile apparently discrepant experimental results: the case of pacemaking in dopaminergic neurons.

Drion G, Massotte L, Sepulchre R, Seutin V.

PLoS Comput Biol. 2011 May;7(5):e1002050. doi: 10.1371/journal.pcbi.1002050. Epub 2011 May 26.

15.

M-type channels selectively control bursting in rat dopaminergic neurons.

Drion G, Bonjean M, Waroux O, Scuvée-Moreau J, Liégeois JF, Sejnowski TJ, Sepulchre R, Seutin V.

Eur J Neurosci. 2010 Mar;31(5):827-35. doi: 10.1111/j.1460-9568.2010.07107.x.

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