Physical Review Letters · 2009 · 44 citations · 20 references
Life SciencesNeuroscienceComputational NeuroscienceNeurobiophysicsNeurophysiologyBiological OscillationsNeural Circuit DynamicsNeural Circuit ModelingNeural OscillationsNeural System ModelingNeuronal DynamicsBursting DynamicsNeural Oscillation ModelingNeuron DynamicsPhase Curve AnalysisPhase ResponsePhase Response CurvesSpiking Neural Network Models
We demonstrate that the phase response curve (PRC) can be reconstructed using a weighted spike-triggered average of an injected fluctuating input. The key idea is to choose the weight to be proportional to the magnitude of the fluctuation of the oscillatory period. Particularly, when a neuron exhibits random switching behavior between two bursting modes, two corresponding PRCs can be simultaneously reconstructed, even from the data of a single trial. This method offers an efficient alternative to the experimental investigation of oscillatory systems, without the need for detailed modeling.
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Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22.1K citations
The Kuramoto model: A simple paradigm for synchronization phenomena
Juan A. Acebrón, L. L. Bonilla, C. J. Pérez Vicente et al. · Reviews of Modern Physics · 2005 · 3.5K citations · Full text
Natural Sciences, Biology, Physics +16
Voltage oscillations in the barnacle giant muscle fiber
Catherine E. Morris, Harold Lecar · Biophysical Journal · 1981 · 2.3K citations · Full text