scholarly journals Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits

2019 ◽  
Vol 15 (5) ◽  
pp. e1007019 ◽  
Author(s):  
Grégory Dumont ◽  
Boris Gutkin
Keyword(s):  
Neural Circuits ◽  
Phase Resetting ◽  
Signal Transfer ◽  
Phase Resetting Curves

Macroscopic phase-resetting curves for spiking neural networks

2017 ◽  
Vol 96 (4) ◽  
Author(s):  
Grégory Dumont ◽  
G. Bard Ermentrout ◽  
Boris Gutkin
Keyword(s):  
Neural Networks ◽  
Spiking Neural Networks ◽  
Phase Resetting ◽  
Phase Resetting Curves

scholarly journals Why are all phase resetting curves bimodal?

2013 ◽  
Vol 14 (S1) ◽  
Author(s):  
Sorinel A Oprisan ◽  
Davy Vanderweyen ◽  
Patrick Lynn ◽  
Derek Russell Tuck
Keyword(s):  
Phase Resetting ◽  
Phase Resetting Curves

scholarly journals All Phase Resetting Curves Are Bimodal, but Some Are More Bimodal Than Others

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Sorinel A. Oprisan
Keyword(s):  
Hopf Bifurcation ◽  
Oscillatory Behavior ◽  
Positive Phase ◽  
Neural Oscillator ◽  
Phase Resetting ◽  
Invariant Circle ◽  
Neural Oscillators ◽  
External Stimuli ◽  
Firing Period ◽  
Phase Resetting Curves

Phase resetting curves (PRCs) are phenomenological and quantitative tools that tabulate the transient changes in the firing period of endogenous neural oscillators as a result of external stimuli, for example, presynaptic inputs. A brief current perturbation can produce either a delay (positive phase resetting) or an advance (negative phase resetting) of the subsequent spike, depending on the timing of the stimulus. We showed that any planar neural oscillator has two remarkable points, which we called neutral points, where brief current perturbations produce no phase resetting and where the PRC flips its sign. Since there are only two neutral points, all PRCs of planar neural oscillators are bimodal. The degree of bimodality of a PRC, that is, the ratio between the amplitudes of the delay and advance lobes of a PRC, can be smoothly adjusted when the bifurcation scenario leading to stable oscillatory behavior combines a saddle node of invariant circle (SNIC) and an Andronov-Hopf bifurcation (HB).

Predicting the entrainment of reentrant cardiac waves using phase resetting curves

2002 ◽  
Vol 65 (2) ◽  
Author(s):  
Leon Glass ◽  
Yoshihiko Nagai ◽  
Kevin Hall ◽  
Mario Talajic ◽  
Stanley Nattel
Keyword(s):  
Phase Resetting ◽  
Phase Resetting Curves
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