A generalized phase resetting method for phase-locked modes prediction

Autor: Dave I. Austin, Sorinel A. Oprisan
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Computer science
Physiology
lcsh:Medicine
Action Potentials
Biochemistry
Phase Determination
Polynomials
Synaptic Transmission
0302 clinical medicine
Animal Cells
Medicine and Health Sciences
lcsh:Science
Membrane potential
Neurons
Multidisciplinary
Artificial neural network
Oscillation
Brain
Electrophysiology
Circadian Oscillators
Physical Sciences
Crystallographic Techniques
Cellular Types
Research Article
Computer and Information Sciences
Neural Networks
Models
Neurological

Phase (waves)
Neurophysiology
Type (model theory)
Research and Analysis Methods
Stability (probability)
Membrane Potential
Set (abstract data type)
03 medical and health sciences
Control theory
Interneurons
Computer Simulation
Quantitative Biology::Neurons and Cognition
lcsh:R
Mode (statistics)
Biology and Life Sciences
Computational Biology
Cell Biology
Feedback loop
Brain Waves
030104 developmental biology
Algebra
Cellular Neuroscience
lcsh:Q
Relative phase
Nerve Net
Chronobiology
030217 neurology & neurosurgery
Mathematics
Neuroscience
Zdroj: PLoS ONE
PLoS ONE, Vol 12, Iss 3, p e0174304 (2017)
ISSN: 1932-6203
Popis: We derived analytically and checked numerically a set of novel conditions for the existence and the stability of phase-locked modes in a biologically relevant master-slave neural network with a dynamic feedback loop. Since neural oscillators even in the three-neuron network investigated here receive multiple inputs per cycle, we generalized the concept of phase resetting to accommodate multiple inputs per cycle. We proved that the phase resetting produced by two or more stimuli per cycle can be recursively computed from the traditional, single stimulus, phase resetting. We applied the newly derived generalized phase resetting definition to predicting the relative phase and the stability of a phase-locked mode that was experimentally observed in this type of master-slave network with a dynamic loop network.
Databáze: OpenAIRE