60 citations · 60 across the 1 of their papers we have counts for
5 papers
Control of coherence resonance in multiplex neural networks
M. Masoliver, C. Masoller, A. Zakharova
We study the dynamics of two neuronal populations weakly and mutually coupled in a multiplexed ring configuration. We simulate the neuronal activity with the stochastic FitzHugh-Na…
Characterizing signal encoding and transmission in class I and class II neurons via ordinal time-series analysis
Cristian Estarellas, Maria Masoliver, Cristina Masoller +1
Neurons encode and transmit information in spike sequences. However, despite the effort devoted to quantify their information content, little progress has been made in this regard.…
Neuronal coupling benefits the encoding of weak periodic signals in symbolic spike patterns
Maria Masoliver, Cristina Masoller
A good understanding of how neurons use electrical pulses (i.e, spikes) to encode the signal information remains elusive. Analyzing spike sequences generated by individual neurons…
Subthreshold signal encoding in coupled FitzHugh-Nagumo neurons
Maria Masoliver, Cristina Masoller
Despite intensive research, the mechanisms underlying how neurons encode external inputs remain poorly understood. Recent work has focused on the response of a single neuron to a w…
Coherence resonance in a network of FitzHugh-Nagumo systems: interplay of noise, time-delay and topology
Maria Masoliver, Nishant Malik, Eckehard Schöll +1
We systematically investigate the phenomena of coherence resonance in time-delay coupled networks of FitzHugh-Nagumo elements in the excitable regime. Using numerical simulations,…