Phase Resetting Curves Allow for Simple and Accurate Prediction of Robust N:1 Phase Locking for Strongly Coupled Neural Oscillators
- 1 July 2009
- journal article
- research article
- Published by Elsevier in Biophysical Journal
- Vol. 97 (1), 59-73
- https://doi.org/10.1016/j.bpj.2009.04.016
Abstract
No abstract availableKeywords
This publication has 45 references indexed in Scilit:
- Predictions of Phase-Locking in Excitatory Hybrid Networks: Excitation Does Not Promote Phase-Locking in Pattern-Generating Networks as Reliably as InhibitionJournal of Neurophysiology, 2009
- Functional Phase Response Curves: A Method for Understanding Synchronization of Adapting NeuronsJournal of Neurophysiology, 2009
- Phase-Resetting Curves Determine Synchronization, Phase Locking, and Clustering in Networks of Neural OscillatorsJournal of Neuroscience, 2009
- Cross-frequency phase coupling of brain rhythms during the orienting responseBrain Research, 2008
- On the formation of gamma-coherent cell assemblies by oriens lacunosum-moleculare interneurons in the hippocampusProceedings of the National Academy of Sciences, 2007
- Using phase resetting to predict 1:1 and 2:2 locking in two neuron networks in which firing order is not always preservedJournal of Computational Neuroscience, 2007
- Low-Dimensional Maps Encoding Dynamics in Entorhinal Cortex and HippocampusNeural Computation, 2006
- Synchronization between main rhythmic processes in the human cardiovascular systemPhysical Review E, 2003
- Type I Membranes, Phase Resetting Curves, and SynchronyNeural Computation, 1996
- Fine Structure of Phase LockingPhysical Review Letters, 1982