PhD thesis, related publications, and photos
Maria Masoliver. Neuronal encoding and transmission of weak periodic signals (2020, DF-UPC News)
M. Masoliver and C. Masoller, Subthreshold signal encoding in coupled FitzHugh-Nagumo neurons, Sci. Rep. 8, 8276 (2018).
M. Masoliver and C. Masoller, Neuronal coupling benefits the encoding of weak periodic signals in symbolic spike patterns, Commun. Nonlinear Sci. Numer. Simulat. 88, 105023 (2020).
C. Estarellas, M. Masoliver, C. Masoller and C.R. Mirasso, Characterizing signal encoding and transmission in class I and class II neurons via ordinal time-series analysis, Chaos 30, 013123 (2020).
M. Masoliver and C. Masoller, Neuronal transmission of subthreshold periodic stimuli via symbolic spike patterns, Entropy 22, 527 (2020).
P. Amil, L. Gonzalez, E. Arrondo, C. Salinas, J. Guell, C. Masoller, U. Parlitz, Unsupervised feature extraction of anterior chamber OCT images for ordering and classification, Sci. Rep. 9, 1157 (2019).
P. Amil, F. Reyes-Manzano, L. Guzmαn-Vargas, I. Sendiρa-Nadal, C. Masoller, Network-based methods for retinal fundus image analysis and classification, PLoS ONE 14, e0220132 (2019).
P. Amil, M. C. Soriano, C. Masoller, Machine learning algorithms for predicting the amplitude of chaotic laser pulses, Chaos 29, 113111 (2019). Arxiv: 1911.04815.
P. Amil, N. Almeira, C. Masoller, Outlier mining methods based on network structure analysis, Front. Phys. 7, 194 (2019).
Donatus Halpaap. Experimental study of speckle generated by semiconductor light sources: application in double pass imaging (2019, co-supervised with M. Vilaseca, DF-UPC News)
D. Halpaap, C. E. Garcia-Guerra, M. Vilaseca, C. Masoller, Speckle reduction in double-pass retinal images, Sci. Rep. 9, 4469 (2019).
D. Halpaap, J. Tiana-Alsina, M. Vilaseca, C. Masoller, Experimental characterization of the speckle pattern at the output of a multimode optical fiber, Opt. Express 27, 27738 (2019).
D. A. Zappala, M. Barreiro, C. Masoller, Global atmospheric dynamics investigated by using Hilbert frequency analysis, Entropy 18, UNSP 408 (2016).
D. A. Zappala, M. Barreiro, C. Masoller, Quantifying changes in spatial patterns of surface air temperature dynamics over several decades, Earth Syst. Dynam. 9, 383391 (2018).
D. A. Zappala, M. Barreiro, C. Masoller, Uncovering underlying regularities in climatological data through Hilbert phase analysis, Chaos 29, 051101 (2019).
D. A. Zappala, M. Barreiro, C. Masoller, Mapping atmospheric waves and unveiling phase coherent structures in a global surface air temperature reanalysis dataset, Chaos 30, 011103 (2020).
Carlos Quintero-Quiroz. Temporal correlations and dynamical transitions in semiconductor lasers with optical feedback (2017, co-supervised with M. C. Torrent)
C. Quintero-Quiroz, S. Pigolotti, M. C. Torrent, C. Masoller, Numerical and experimental study of the effects of noise on the permutation entropy, New J. of Phys. 17, 093002 (2015).
C. Quintero-Quiroz, J. Tiana-Alsina, J. Roma, M. C. Torrent, C. Masoller, Characterizing how complex optical signals emerge from noisy intensity fluctuations, Sci. Rep. 6 37510 (2016).
Ignacio Deza. Climate networks constructed by using information-theoretic measures and ordinal time-series analysis (2015, co-supervised with M. Barreiro)
J. I. Deza, M. Barreiro, C. Masoller, Inferring interdependencies in climate networks constructed at inter-annual, intra-season and longer time scales, Eur. Phys. J. Special Topics 222, 511523 (2013).
J. I. Deza, C. Masoller, M. Barreiro, "Distinguishing the effects of internal and forced atmospheric variability in climate networks", Nonlin. Processes Geophys. 21, 617 (2014).
J. I. Deza, M. Barreiro, C. Masoller, Assessing the direction of climate interactions by means of complex networks and information theoretic tools, Chaos 25, 033105 (2015).
Giulio Tirabassi. Disentangling climate interactions and inferring tipping points by using complex networks (2015)
G. Tirabassi and C. Masoller, On the effects of lag-times in networks constructed from similarities of monthly fluctuations of climate fields, EPL 102, 59003 (2013).
G. Tirabassi, J. Viebahn, V. Dakos, H. A. Dijkstra, C. Masoller, M. Rietkerk, S.C. Dekker, "Interaction network based early-warning indicators of vegetation transitions", Ecological Complexity 19, 148 (2014).
G. Tirabassi, R. Sevilla-Escoboza, J. M. Buldϊ, C. Masoller, Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis, Sci. Rep. 5 10829 (2015).
G. Tirabassi, C. Masoller and M. Barreiro, A study of the air-sea interaction in the South Atlantic Convergence Zone through Granger Causality, Int. J. of Climatology, 35, 3440 (2015).
G. Tirabassi and C. Masoller, Unravelling the community structure of the climate system by using lags and symbolic time-series analysis, Sci. Rep. 6, 29804 (2016).
Taciano Sorrentino. Experimental and numerical study of the symbolic dynamics of modulated semiconductor lasers with optical feedback (2015, co-supervised with M. C. Torrent)
T. Sorrentino, C. Quintero-Quiroz, A. Aragoneses, M. C. Torrent, C. Masoller, The effects of periodic forcing on the temporally correlated spikes of a semiconductor laser with feedback, Optics Express 23, 5571 (2015).
T. Sorrentino, C. Quintero-Quiroz, M. C. Torrent, C. Masoller, Analysis of the spike rate and spike correlations in modulated semiconductor lasers with optical feedback, IEEE J. Sel. Top. Quantum Electron. 21, 1801107 (2015).
Andres Aragoneses. Experimental study of feedback-induced dynamics in semiconductor lasers: from symbolic analysis to subwavelength position sensing (2014, co-supervised with M. C. Torrent)
A. Aragoneses, N. Rubido, J. Tiana-Alsina, M. C. Torrent, C. Masoller, Distinguishing signatures of determinism and stochasticity in spiking complex systems, Sci. Rep. 3, 1778 (2013).
S. D. Cohen, A. Aragoneses, D. Rontani, M. C. Torrent, C. Masoller, D. J. Gauthier, Multidimensional subwavelength position sensing using a semiconductor laser with optical feedback, Opt. Lett. 38, 4331 (2013).
A. Aragoneses, T. Sorrentino, S. Perrone, D. J. Gauthier, M. C. Torrent, C. Masoller, Experimental and numerical study of the symbolic dynamics of a modulated external-cavity semiconductor laser, Optics Express 22, 4705 (2014).
A. Aragoneses, S. Perrone, T. Sorrentino, M. C. Torrent, C. Masoller, "Unveiling the complex organization of recurrent patterns in spiking dynamical systems", Sci. Rep. 4, 4696 (2014).
Sandro Perrone. Exploiting nonlinearity and noise in optical tweezers and semiconductor lasers: from resonant damping to stochastic logic gates and extreme pulses (2014, co-supervised with R. Vilaseca)
S. Perrone, R. Vilaseca, C. Masoller, Stochastic logic gate that exploits noise and polarization bistability in an optically injected VCSEL, Opt. Express 20, 22692 (2012).
S. Perrone, R. Vilaseca, J. Zamora-Munt, C. Masoller, Controlling the likelihood of rogue waves in an optically injected semiconductor laser via direct current modulation, Phys. Rev. A 89, 033804 (2014).
Jordi Zamora-Munt. Nonlinear and stochastic dynamics of semiconductor lasers: modulation, transient dynamics and synchronization (2011, co-supervised with J. Garcνa Ojalvo).
J. Zamora-Munt and C. Masoller, Generation of optical pulses in VCSELs below the static threshold using asymmetric current modulation, Optics Express 16, 17848-17853 (2008).
J. Zamora-Munt, C. Masoller, J. Garcia-Ojalvo, Transient low-frequency fluctuations in semiconductor lasers with optical feedback, Phys. Rev. A 81, 033820 (2010).
J. Zamora-Munt and C. Masoller, Numerical implementation of a VCSEL-based stochastic logic gate via polarization bistability Opt. Express 18, 16418-16429 (2010).
J. Zamora-Munt, C. Masoller, J. Garcνa-Ojalvo, R. Roy, Crowd synchrony and quorum sensing in delay-coupled lasers, Phys. Rev. Lett. 105, 264101 (2010).
Maria Masoliver (2020), Pablo Amil (2020) Donatus Halpaap (2019), Dario Zappala (2019), Carlos Quintero-Quiroz (2017), Giulio Tirabassi (2015), Taciano Sorrentino (2015), Andres Aragoneses (2014), Sandro Perrone (2014)