The phenomenon of synchronization between two or more areas of the brain coupled asymmetrically is a relevant issue for understanding mechanisms and functions within the cerebral cortex. Anticipated synchronization (AS) refers to the situation in which the receiver system synchronizes to the future dynamics of the sender system while the intuitively expected delayed synchronization (DS) represents exactly the opposite case. AS and DS are investigated in the context of causal information formalism. More specifically, we use a multi-scale symbolic information-theory approach for discriminating the time delay displayed between two areas of the brain when they exchange information.Research supported by PIP 0255/11 CONICET, Argentina (F.M...
Patterns of (de)synchronization are key to neural func-tioning. We asked what general mechanisms are...
The human brain is ultimately responsible for all thoughts and movements that the body produces. Thi...
A new computational framework implementing asynchronous neural dynamics is used to address the duali...
The phenomenon of synchronization between two or more areas of the brain coupled asymmetrically is a...
Tesis presentada al programa de doctorado en Física del Departamento de Física de la Universidad Fed...
Anticipated synchronization (AS) is an anti-intuitive phenomenon that can occur in two coupled dynam...
Synchronization is one of the brain mechanisms allowing the coordination of neuronal activity requir...
Anticipated and zero-lag synchronization have been observed in different scientific fields. In the b...
In neuroscience, data are typically generated from neural network activity. The resulting time serie...
In neuroscience, data are typically generated from neural network activity. The resulting time serie...
In recent experimental work it has been shown that neuronal interactions are modulated by neuronal s...
Trabajo presentado en la SENC Meeting 2021 (Sociedad Española de Neurociencia), celebrada en Lleida ...
In complex networks such as gene networks, traffic systems or brain circuits it is important to unde...
Time is not only the fundamental organizing principle of the universe, it is also the primary organi...
[Abstract] Brain networks exhibit very variable and dynamical functional connectivity and flexible c...
Patterns of (de)synchronization are key to neural func-tioning. We asked what general mechanisms are...
The human brain is ultimately responsible for all thoughts and movements that the body produces. Thi...
A new computational framework implementing asynchronous neural dynamics is used to address the duali...
The phenomenon of synchronization between two or more areas of the brain coupled asymmetrically is a...
Tesis presentada al programa de doctorado en Física del Departamento de Física de la Universidad Fed...
Anticipated synchronization (AS) is an anti-intuitive phenomenon that can occur in two coupled dynam...
Synchronization is one of the brain mechanisms allowing the coordination of neuronal activity requir...
Anticipated and zero-lag synchronization have been observed in different scientific fields. In the b...
In neuroscience, data are typically generated from neural network activity. The resulting time serie...
In neuroscience, data are typically generated from neural network activity. The resulting time serie...
In recent experimental work it has been shown that neuronal interactions are modulated by neuronal s...
Trabajo presentado en la SENC Meeting 2021 (Sociedad Española de Neurociencia), celebrada en Lleida ...
In complex networks such as gene networks, traffic systems or brain circuits it is important to unde...
Time is not only the fundamental organizing principle of the universe, it is also the primary organi...
[Abstract] Brain networks exhibit very variable and dynamical functional connectivity and flexible c...
Patterns of (de)synchronization are key to neural func-tioning. We asked what general mechanisms are...
The human brain is ultimately responsible for all thoughts and movements that the body produces. Thi...
A new computational framework implementing asynchronous neural dynamics is used to address the duali...