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Cognition

Characteristic Waveform Correlates

p. 265-282

Abstract

The integration between psychological concepts and neurophysiological data pose many epistemic difficulties which create almost unsolvable problems. We used the strategy of reconsidering experimental data and theoretical concepts within the frame of reference of some concepts from Quantum Physics and Chemistry. The model of a particle in a box against a potential barrier proved to be adequate to describe and interpret behavioural data from a neurophysiological viewpoint. Concerning cognitive processes we used the model of atom orbitals and of isolobal fragments to build a model of information processing in the frequency domain. After examining some problems related to anticipation, hypothesis construction and transformation we tested experimentally some of these ideas. Analysis of EEG records using Lee method of cross-correlation with Dirac delta waves repeated periodically yields distinctive spatial distributions of patterns of periodic waveforms for cognitive-affective states- joy, sadness, anxiety, anger and mistrust. It was possible, using exclusively electrophysiological indicators in the frequency domain, to classify adequately a group of 35 subjects that experienced these five cognitive-affective states.

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References

Bibliographical reference

Isabel Barahona da Fonseca, José Barahona da Fonseca and José Luis Simões da Fonseca, « Cognition », CASYS, 10 | 2001, 265-282.

Electronic reference

Isabel Barahona da Fonseca, José Barahona da Fonseca and José Luis Simões da Fonseca, « Cognition », CASYS [Online], 10 | 2001, Online since 10 October 2024, connection on 27 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=1282

Authors

Isabel Barahona da Fonseca

Faculty of Psychology of Lisbon, University of Lisbon, Alameda da Universidade, 1600 Lisboa, Portugal

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José Barahona da Fonseca

Dept. of Electrical Engineering; FCT/UNL, Quinta da Torre, 2825-114 Monte da Caparica, Portugal

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José Luis Simões da Fonseca

Faculty of Medicine of Lisbon, University of Lisbon, Av. Prof. Egas Moniz, 1600 Lisboa, Portugal

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Copyright

CC BY-SA 4.0 Deed