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Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Tauste Campo, Adrià, 1982-"

Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Tauste Campo, Adrià, 1982-"

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  • Tauste Campo, Adrià, 1982-; Vazquez-Vilar, Gonzalo; Guillén i Fábregas, A. (Albert); Koch, Tobias; Martínez, Alfonso, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    This paper studies the random-coding exponent of joint source-channel coding for a scheme where source messages are assigned to disjoint subsets (referred to as classes), and codewords are independently generated according ...
  • Vila-Vidal, Manel, 1991-; Khawaja, Mariam; Carreño, Mar; Roldán, Pedro; Rumià, Jordi; Donaire, Antonio; Deco, Gustavo; Tauste Campo, Adrià, 1982- (Wiley, 2023)
    Cognitive-relevant information is processed by different brain areas that cooperate to eventually produce a response. The relationship between local activity and global brain states during such processes, however, remains ...
  • Vazquez-Vilar, Gonzalo; Tauste Campo, Adrià, 1982-; Guillén i Fábregas, A. (Albert); Martínez, Alfonso, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Two alternative exact characterizations of the minimum error probability of Bayesian M-ary hypothesis testing are derived. The first expression corresponds to the error probability of an induced binary hypothesis test and ...
  • Tauste Campo, Adrià, 1982-; Vázquez, Yuriria; Álvarez, Manuel; Zainos, Antonio; Rossi-Pool, Román; Deco, Gustavo; Romo, Ranulfo (National Academy of Sciences, 2019)
    The direction of functional information flow in the sensory thalamocortical circuit may play a role in stimulus perception, but, surprisingly, this process is poorly understood. We addressed this problem by evaluating a ...
  • Grau Leguia, Marc; Martínez, Cristina G. B.; Malvestio, Irene; Tauste Campo, Adrià, 1982-; Rocamora, Rodrigo; Levnajić, Zoran; Andrzejak, Ralph Gregor (American Physical Society, 2019)
    Inferring the topology of a network using the knowledge of the signals of each of the interacting units is key to understanding real-world systems. One way to address this problem is using data- driven methods like ...
  • Vila-Vidal, Manel, 1991-; Pérez-Enríquez, Carmen; Principe, Alessandro; Rocamora, Rodrigo; Deco, Gustavo; Tauste Campo, Adrià, 1982- (Elsevier, 2020)
    The spatial mapping of localized events in brain activity critically depends on the correct identification of the pattern signatures associated with those events. For instance, in the context of epilepsy research, a number ...
  • Bocharova, Irina E.; Guillén i Fábregas, A. (Albert); Kudryashov, Boris D.; Martínez, Alfonso, 1973-; Tauste Campo, Adrià, 1982-; Vazquez-Vilar, Gonzalo (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    This paper studies an almost-lossless source-channel coding scheme in which source messages are assigned to different classes and encoded with a channel code that depends on the class index. The code performance is analyzed ...
  • Gilson, Matthieu; Tauste Campo, Adrià, 1982-; Chen, X.; Thiele, Alexander; Deco, Gustavo (MIT Press, 2017)
    Directed connectivity inference has become a cornerstone in neuroscience to analyze multivariate data from neuroimaging and electrophysiological techniques. Here we propose a nonparametric significance method to test the ...
  • Tauste Campo, Adrià, 1982-; Martínez-García, Marina; Nácher, Verónica; Luna, Rogelio; Romo, Ranulfo; Deco, Gustavo (National Academy of Sciences, 2015)
    Neural correlations during a cognitive task are central to study brain information processing and computation. However, they have been poorly analyzed due to the difficulty of recording simultaneous single neurons during ...
  • Cruzat Grand, Josefina, 1983-; Deco, Gustavo; Tauste Campo, Adrià, 1982-; Principe, Alessandro; Costa, Albert, 1970-; Kringelbach, Morten L.; Rocamora, Rodrigo (Elsevier, 2018)
    Cognitive processing requires the ability to flexibly integrate and process information across large brain networks. How do brain networks dynamically reorganize to allow broad communication between many different brain ...

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