106 citations · 1.1k across the 43 of their papers we have counts for
6 papers · 1 filter
Parameter and coupling estimation in small groups of Izhikevich neurons
R. P. Aristides, A. J. Pons, H. A. Cerdeira +2
Nowadays, experimental techniques allow scientists to have access to large amounts of data. In order to obtain reliable information from the complex systems which produce these dat…
Symbolic analysis of bursting dynamical regimes of Rulkov neural networks
R. C. Budzinski, S. R. Lopes, C. Masoller
Neurons modeled by the Rulkov map display a variety of dynamic regimes that include tonic spikes and chaotic bursting. Here we study an ensemble of bursting neurons coupled with th…
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…
Emergence of spike correlations in periodically forced excitable systems
Jose A. Reinoso, M. C. Torrent, Cristina Masoller
In sensory neurons the presence of noise can facilitate the detection of weak information-carrying signals, which are encoded and transmitted via correlated sequences of spikes. He…