A5018282966- Neural dynamics and brain function
- Nonlinear Dynamics and Pattern Formation
- Functional Brain Connectivity Studies
- Complex Network Analysis Techniques
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Complex Systems and Time Series Analysis
- Climate variability and models
- Photoreceptor and optogenetics research
- Meteorological Phenomena and Simulations
- Opinion Dynamics and Social Influence
- Health, Environment, Cognitive Aging
- Dementia and Cognitive Impairment Research
- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Slime Mold and Myxomycetes Research
- Bioinformatics and Genomic Networks
- Optical Imaging and Spectroscopy Techniques
- Plant and animal studies
- Low-power high-performance VLSI design
- Gene Regulatory Network Analysis
- Hereditary Neurological Disorders
- Molecular Communication and Nanonetworks
- Graph theory and applications
- Diffusion and Search Dynamics
University of Aberdeen
2014-2025
Institute for Complex Systems
2014-2025
Istanbul Medipol University
2024
Universidad de la República
2014-2023
University of Essex
2016
Universidad La República
2014
Abstract Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding health disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex neurodegeneration) on brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American Caribbean (LAC) 8 non-LAC countries). Based higher-order interactions, we developed a deep learning architecture functional...
Diversity in brain health is influenced by individual differences demographics and cognition. However, most studies on diseases have typically controlled for these factors rather than explored their potential to predict signals. Here, we assessed the role of (age, sex, education; n = 1,298) cognition (n 725) as predictors different metrics usually used case-control studies. These included power spectrum aperiodic (1/f slope, knee, offset) metrics, well complexity (fractal dimension...
Abstract In most mammals, the sleep-wake cycle is constituted by three behavioral states: wakefulness (W), non-REM (NREM) sleep, and REM sleep. These states are associated with drastic changes in cognitive capacities, mostly determined function of thalamo-cortical system. The intra-cranial electroencephalogram or electocorticogram (ECoG), an important tool for measuring activity during W present study we analyzed broad-band ECoG recordings rat means a time-series complexity measure that easy...
Abstract Recent studies have shown that slow cortical potentials in archi‐, paleo‐ and neocortex can phase‐lock with nasal respiration. In some of these areas, gamma activity (γ: 30–100 Hz) is also coupled to the animal's It has been hypothesized functional relationships play a role coordinating distributed neural activity. similar way, inter‐cortical interactions at γ frequency associated as binding mechanism by which brain generates temporary opportunities necessary for implementing...
This Focus Issue highlights recent advances in the study of complex systems, with a particular emphasis on data-driven research. Our editorial explores diverse array topics, including financial markets, electricity pricing, power grids, lasers, Earth’s climate, hydrology, neuronal assemblies and brain, biomedicine, networks, real-world hypergraphs, animal behavior, social media. diversity underscores broad applicability systems Here, we summarize 47 published works under this Issue, which...
In this work, we carry out a critical analysis of the information generated and transmitted in an electronic implementation diffusively coupled logistic maps. Our allows one to change coupling configuration (i.e., network) fine-tune strength map parameters, but has minimal noise parameter heterogeneity, which generates collective behaviors that differ from numerical simulations. particular, focus on analyzing two dynamical regimes their dependence configuration: where there is maximum...
The inference of an underlying network topology from local observations a complex system composed interacting units is usually attempted by using statistical similarity measures, such as cross-correlation (CC) and mutual information (MI). possible existence direct link between different is, however, hindered within the time-series measurements. Here we show that, for class systems studied, when abrupt change in ordered set CC or MI values exists, it to infer, without errors, measurements,...
Recently, the sleep-wake states have been analysed using novel complexity measures, complementing classical analysis of EEGs by frequency bands. This new approach consistently shows a decrease in EEG's during slow-wave sleep, yet it is unclear how cortical oscillations shape these variations. In this work, we analyse content brain signals affects estimates freely moving rats. We find that low-frequency spectrum - including Delta, Theta, and Sigma bands drives changes states. happens because...
We describe a method to infer signatures of determinism and stochasticity in the sequence apparently random intensity dropouts emitted by semiconductor laser with optical feedback. The uses ordinal time-series analysis classify experimental data inter-dropout-intervals (IDIs) two categories that display statistically significant different features. Despite apparent randomness dropout events, one IDI category is consistent waiting times resting state until noise triggers other occurring...
This work uses an information-based methodology to infer the connectivity of complex systems from observed time-series data. We first derive analytically expression for Mutual Information Rate (MIR), namely, amount information exchanged per unit time, that can be used estimate MIR between two finite-length low-resolution noisy time-series, and then apply it after a proper normalization identification structure small networks interacting dynamical systems. In particular, we show our...
Ibogaine is a psychedelic alkaloid that has attracted large scientific interest because of its antiaddictive properties in observational studies humans as well animal models. Its subjective effect been described intense, vivid dream-like experiences occurring while awake; hence, ibogaine often referred to an oneirogenic psychedelic. While this unique profile hypothesized aid the effects, electrophysiological signatures state remain unknown. We previously showed rats promotes waking with...
Abstract A prominent feature of complex networks is the appearance communities, also known as modular structures. Specifically, communities are groups nodes that densely connected among each other but connect sparsely with others. However, detecting in so far a major challenge, particular, when evolve time. Here, we propose change community detection approach. It underlies defining an intrinsic dynamic for network interacting particles (based on diffusive equations motion and topological...
We introduce a method, based on symbolic analysis, to characterize the temporal correlations of spiking activity exhibited by excitable systems. The technique is applied experimentally observed dynamics semiconductor laser with optical feedback operating in low-frequency fluctuations regime, where intensity displays irregular trains sudden dropouts that can be interpreted as pulses. Symbolic analysis transforms series interdropout time intervals into sequences words, which represent local...
The ability to design a transport network such that commodities are brought from suppliers consumers in steady, optimal, and stable way is of great importance for nowadays distribution systems. In this Letter, by using the circuit laws Kirchhoff Ohm, we provide exact capacities edges an optimal supply-demand should have operate stably under perturbations. perturbations consider evolution connecting topology, decentralisation hub sources or sinks, intermittence suppliers/consumers...
Finding the correct encoding for a generic dynamical system's trajectory is complicated task: symbolic sequence needs to preserve invariant properties from trajectory. In theory, solution this problem found when Generating Markov Partition (GMP) obtained, which only defined once unstable and stable manifolds are known with infinite precision all times. However, these usually form highly convoluted Euclidean sets, \emph{a priori} unknown, and, as it happens in any real-world experiment,...
Entertaining and educational experiments that can be conducted in a water park, illustrating physics concepts, principles fundamental laws, are described. These suitable for students ranging from senior secondary school to junior university level. Newton's laws of motion, Bernoulli's equation, based on the conservation energy, buoyancy, linear non-linear wave propagation, turbulence, thermodynamics, optics cosmology among topics discussed. Commonly available devices like smartphones, digital...
Recently, a new kind of optically coupled oscillators that behave as relaxation has been studied experimentally in the case local coupling. Even though numerical results exist, there are no references about experimental studies concerning synchronization times with In this paper, we study both and numerically system different configurations, including Synchronization quantified function initial conditions coupling strength. For each configuration, number stable states is determined varying...
Neuronal interactions give rise to complex dynamics in cortical networks, often described terms of the diversity activity patterns observed a neural signal. Interestingly, complexity spontaneous electroencephalographic signals decreases during slow-wave sleep (SWS); however, underlying mechanisms remain elusive. Here, we analyse in-vivo recordings from neocortical and hippocampal neuronal populations rats show that decrease is due emergence synchronous DOWN states. Namely, find states SWS...
<title>Abstract</title> Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding health disease. However, the impact of multimodal diversity (geographical, socioeconomic, sociodemographic, sex, neurodegeneration) on gap (BAG) is unknown. Here, we analyzed datasets from 5,306 participants across 15 countries (7 Latin American -LAC, 8 non-LAC). Based higher-order interactions in signals, developed a BAG deep learning architecture...
Abstract The South American rainfall Dipole (SAD) is a renowned spatial structure present in the austral summer as part of monsoon system. SAD phases have been related with extreme precipitations and severe droughts across America, but are yet to be predicted. Here, we reveal two robust reliable intraseasonal windows accumulated index where can forecast its quantile‐state between 5 15 60 70 days advance (99% significance level). These insensitive variations pole's size accumulation window,...