Inverse stochastic resonance in networks of spiking neurons.
Inverse Stochastic Resonance (ISR) is a phenomenon in which the average spiking rate of a neuron exhibits a minimum with respect to noise. ISR has been studied in individual neurons, but here, we investigate ISR in scale-free networks, where the average spiking rate is calculated over the neuronal p...
Main Authors: | Muhammet Uzuntarla, Ernest Barreto, Joaquin J Torres |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-07-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC5524418?pdf=render |
Similar Items
-
Inverse stochastic resonance induced by ion channel noise
by: Uzuntarla Muhammet, et al.
Published: (2012-07-01) -
Emergent oscillations in networks of stochastic spiking neurons.
by: Edward Wallace, et al.
Published: (2011-05-01) -
Communication through resonance in spiking neuronal networks.
by: Gerald Hahn, et al.
Published: (2014-08-01) -
Self-Organized Supercriticality and Oscillations in Networks of Stochastic Spiking Neurons
by: Ariadne A. Costa, et al.
Published: (2017-08-01) -
Neuronal stochastic variability: influences on spiking dynamics and network activity
by: Mark D Mcdonnell, et al.
Published: (2016-04-01)