Combining Different Tools for EEG Analysis to Study the Distributed Character of

Computational Intelligence and Neuroscience, 2015

20 Pages Posted: 18 Nov 2015

See all articles by Armando da Rocha

Armando da Rocha

Research on Artificial and Natural Intelligence (RANI)

Flavia Foz

CEFAC

Alfredo Pereira Jr

University of São Paulo (USP)

Date Written: November 17, 2015

Abstract

Recent studies on language processing indicate that language cognition is better understood if assumed to be supported by a distributed intelligent processing system enrolling neurons located all over the cortex, in contrast to reductionism that propose to localize cognitive functions to specific cortical structures. Here, brain activity was recorded using electroencephalogram while volunteers were listening or reading small texts and had to select pictures that translate meaning of these texts. Several techniques for EEG analysis were used to show this distributed character of neuronal enrollment associated with the comprehension of oral and written descriptive texts. Low Resolution Tomography identified the many different sets (Si) of neurons activated in several distinct cortical areas by text understanding. Linear correlation was used to calculate the information provided by each electrode of the 10/20 system about the identified. Principal Component Analysis (PCA) was used to study the temporal and spatial activation of these sources . This analysis evidenced 4 different patterns of covariation that are generated by neurons located at different cortical locations. These results clearly show that the distributed character of language processing is clearly evidenced by combining available EEG technologies.

Suggested Citation

da Rocha, Armando and Foz, Flavia and Pereira Jr, Alfredo, Combining Different Tools for EEG Analysis to Study the Distributed Character of (November 17, 2015). Computational Intelligence and Neuroscience, 2015. Available at SSRN: https://ssrn.com/abstract=2692203

Armando Da Rocha (Contact Author)

Research on Artificial and Natural Intelligence (RANI) ( email )

Rua Tenente Ary Aps, 172
Jundiai, 13207-110
Brazil

Flavia Foz

CEFAC ( email )

United States

Alfredo Pereira Jr

University of São Paulo (USP) ( email )

Rua Luciano Gualberto, 315
São Paulo, São Paulo 14800-901
Brazil

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