Previous research results of our group showed the possibility to encode EEG signals related to sensory and cognitive stimuli, so as similar codes refer to similar stimuli and different codes to different stimuli. This paper further explores this issue by testing the possibility of recognizing mutually associated sensory and cognitive stimuli. To test this possibility of identifying and comparing signals coming from conceptually overlapping stimuli we conducted an experiment using an EMOTIV EPOC+ EEG headset analyzing 4 electrodes (T8, P7, O1, F7) on two frequency bands (Beta and Gamma). The analysis was carried out with the same ANN used in the previous experiment. The paper analyses the results by band and electrode, finding many corrispondences between codes and overlapping patterns. The best matches are provided by the P7 and O1 electrode signals in the beta band. Other findings lead to the conclusion that the matches are probably mediated by cognitive elaborations. These preliminary results should be investigated with a higher numerosity of the samples.
An Artificial Neural Network Compares Neurophysiological Events Triggered by Mutually Associated Sensory and Cognitive Stimuli / R.M.R. Pizzi. - In: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH AND APPLICATIONS. - ISSN 2248-9622. - 10:9 (Serie 6.)(2020 Oct), pp. 45-49.
|Titolo:||An Artificial Neural Network Compares Neurophysiological Events Triggered by Mutually Associated Sensory and Cognitive Stimuli|
PIZZI, RITA MARIA ROSA (Corresponding)
|Parole Chiave:||Artificial Neural Networks, chaotic attractors, neuroscience, cognition, associative reasoning|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
|Data di pubblicazione:||ott-2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.9790/9622-1009064549|
|Appare nelle tipologie:||01 - Articolo su periodico|