Hernán Bocaccio
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On the application of Visibility Graphs in the Spectral Domain for Speaker Recognition Open
In this study, we explore the potential of visibility graphs in the spectral domain for speaker recognition. Adult participants were instructed to record vocalizations of the five Spanish vowels. For each vocalization, we computed the freq…
Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees Open
We present a method for reconstructing evolutionary trees from high-dimensional data, with a specific application to bird song spectrograms. We address the challenge of inferring phylogenetic relationships from phenotypic traits, like voca…
Model-based machine learning of critical brain dynamics Open
Criticality can be exactly demonstrated in certain models of brain activity, yet it remains challenging to identify in empirical data. We trained a fully connected deep neural network to learn the phases of an excitable model unfolding on …
Identification of dialects and individuals of globally threatened Yellow Cardinals using neural networks Open
Audio-based analysis of bird songs has proven to be a valuable practice for the growth of knowledge in the fields of ethology and ecology. In recent years, machine learning techniques applied to audio field recordings of bird calls have yi…
The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states Open
Finding precise signatures of different brain states is a central, unsolved question in neuroscience. We reformulated the problem to quantify the ‘inside out’ balance of intrinsic and extrinsic brain dynamics in brain states. The differenc…
Model-based machine learning of critical brain dynamics Open
Criticality can be exactly demonstrated in certain models of brain activity, yet it remains challenging to identify in empirical data. We trained a fully connected deep neural network to learn the phases of an excitable model unfolding on …
Temporal irreversibility of neural dynamics as a signature of consciousness Open
Dissipative systems evolve in the preferred temporal direction indicated by the thermodynamic arrow of time. The fundamental nature of this temporal asymmetry led us to hypothesize its presence in the neural activity evoked by conscious pe…
Temporal irreversibility of neural dynamics as a signature of consciousness Open
Even though the fundamental laws of physics are the same when the direction of time is inverted, dissipative systems evolve in the preferred temporal direction indicated by the thermodynamic arrow of time. The fundamental nature of this te…
Nonequilibrium brain dynamics as a signature of consciousness Open
The cognitive functions of human and nonhuman primates rely on the dynamic interplay of distributed neural assemblies. As such, it seems unlikely that cognition can be supported by macroscopic brain dynamics at the proximity of equilibrium…
The avalanche-like behaviour of large-scale haemodynamic activity from wakefulness to deep sleep Open
Increasing evidence suggests that responsiveness is associated with critical or near-critical cortical dynamics, which exhibit scale-free cascades of spatio-temporal activity. These cascades, or ‘avalanches’, have been detected at multiple…
Supplementary material from "The avalanche-like behaviour of large-scale haemodynamic activity from wakefulness to deep sleep" Open
Increasing evidence suggests that responsiveness is associated with critical or near-critical cortical dynamics, which exhibit scale-free cascades of spatio-temporal activity. These cascades, or ‘avalanches’, have been detected at multiple…
F169. BRAIN CONNECTIVITY DURING PSYCHOLOGICAL STRESS IN PATIENTS WITH SCHIZOPHRENIA Open
It is commonly accepted that in most patients with schizophrenia external factors act on genetic predisposition to produce active psychotic symptoms. In fact, we showed that patients with schizophrenia have an abnormal brain activation and…