Loading...
Loading...

Go to the content (press return)

Neuronal coupling benefits the encoding of weak periodic signals in symbolic spike patterns

Author
Masoliver, M.; Masoller, C.
Type of activity
Journal article
Journal
Communications in nonlinear science and numerical simulation
Date of publication
2020-03-01
DOI
10.1016/j.cnsns.2019.105023
URL
https://www.sciencedirect.com/science/article/pii/S1007570419303429 Open in new window
Abstract
The biophysical mechanisms by which an input signal elicits a neuronal response are well known (sufficiently large inputs change the membrane potential of the neuron and generate electrical pulses, known as action potentials or spikes), yet, a good understanding of how neurons use these spikes to encode the signal information remains elusive. Recent theoretical studies have focused on how neurons encode a weak periodic signal (that by itself is unable to generate spikes) in a noisy environment, ...
Keywords
Excitability, Fitzhugh-Nagumo model, Neural coding, Neuronal noise, Ordinal analysis, Spike train variability, Symbolic analysis, Time series analysis
Group of research
DONLL - Nonlinear dynamics, nonlinear optics and lasers

Participants