Switchable slow cellular conductances determine robustness and tunability of network states-Reference-Cited by-同舟云学术

Switchable slow cellular conductances determine robustness and tunability of network states

Published:2018-04-23 Issue:4 Volume:14 Page:e1006125
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Drion Guillaume,Dethier Julie,Franci Alessio,Sepulchre Rodolphe

Funder

European Research Council

DGAPA-UNAM

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference89 articles.

1. Neural control of brain state;E Zagha;Curr Opin Neurobiol,2014

2. Neurophysiological and computational principles of cortical rhythms in cognition;XJ Wang;Physiol Rev,2010

3. Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology;PJ Uhlhaas;Neuron,2006

4. Neuromodulation of brain states;SH Lee;Neuron,2012

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Online Estimation of Biophysical Neural Circuits;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Circadian rhythmogenesis from neuromodulator- and molecular clock-mediated network mixed feedback*;IFAC-PapersOnLine;2023

3. Spiking Control Systems;Proceedings of the IEEE;2022-05

4. Adaptive conductance control;Annual Reviews in Control;2022

5. Feedback design of spatially-distributed filters with tunable resolution;2021 60th IEEE Conference on Decision and Control (CDC);2021-12-14