Abstract
This chapter presents general methods for deep learning and deep knowledge representation of EEG data in brain-inspired SNN (BI-SNN). These methods are applied to develop specific methods for EEG data analysis and for modelling brain cognitive functions, such as: performing cognitive tasks; emotion recognition from face expression; sub-conscious processing of stimuli; modelling attentional bias.
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Acknowledgements
Some of the material in this chapter has been first published in journal and conference publications as referenced and cited in corresponding sections of the chapter and also in Springer book volumes [15, 68]. I acknowledge the contribution of my co-authors of these publications Lubica Benuskova, Maryam Doborjeh, Elisa Capecci, Zohreh Doborjeh, Nathan Scott, Alex Sumich. Most of the experiments in Sects. 8.4, 8.5 and 8.6 were conducted by Z. Doborjeh and M. Dorojeh, while experiments in Sect. 8.3 were conducted by E. Capecci.
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Appendix
Appendix
(from [34]). Anatomical locations of international 10–10 EEG cortical projections into Talairach coordinates. Same coordinates are used in a SNNc of a NeuCube model.
EEG chan. | Talairach coordinates | Gyri | Brodmann area | |||
|---|---|---|---|---|---|---|
x av (mm) | y av (mm) | z av (mm) | ||||
FP1 | −21.2 ± 4.7 | 66.9 ± 3.8 | 12.1 ± 6.6 | L FL | Superior frontal G | 10 |
FPz | 1.4 ± 2.9 | 65.1 ± 5.6 | 11.3 ± 6.8 | M FL | Bilat. medial | 10 |
FP2 | 24.3 ± 3.2 | 66.3 ± 3.5 | 12.5 ± 6.1 | R FL | Superior frontal G | 10 |
AF7 | −41.7 ± 4.5 | 52.8 ± 5.4 | 11.3 ± 6.8 | L FL | Middle frontal G | 10 |
AF3 | −32.7 ± 4.9 | 48.4 ± 6.7 | 32.8 ± 6.4 | L FL | Superior frontal G | 9 |
AFz | 1.8 ± 3.8 | 54.8 ± 7.3 | 37.9 ± 8.6 | M FL | Bilat. medial | 9 |
AF4 | 35.1 ± 3.9 | 50.1 ± 5.3 | 31.1 ± 7.5 | L FL | Superior frontal G | 9 |
AF8 | 43.9 ± 3.3 | 52.7 ± 5.0 | 9.3 ± 6.5 | R FL | Middle frontal G | 10 |
F7 | −52.1 ± 3.0 | 28.6 ± 6.4 | 3.8 ± 5.6 | L FL | Inferior frontal G | 45 |
F5 | −51.4 ± 3.8 | 26.7 ± 7.2 | 24.7 ± 9.4 | L FL | Middle frontal G | 46 |
F3 | −39.7 ± 5.0 | 25.3 ± 7.5 | 44.7 ± 7.9 | L FL | Middle frontal G | 8 |
F1 | −22.1 ± 6.1 | 26.8 ± 7.2 | 54.9 ± 6.7 | L FL | Superior frontal G | 6 |
Fz | 0.0 ± 6.4 | 26.8 ± 7.9 | 60.6 ± 6.5 | M FL | Bilat. medial | 6 |
F2 | 23.6 ± 5.0 | 28.2 ± 7.4 | 55.6 ± 6.2 | R FL | Superior frontal G | 6 |
F4 | 41.9 ± 4.8 | 27.5 ± 7.3 | 43.9 ± 7.6 | R FL | Middle frontal G | 8 |
F6 | 52.9 ± 3.6 | 28.7 ± 7.2 | 25.2 ± 7.4 | R FL | Middle frontal G | 46 |
F8 | 53.2 ± 2.8 | 28.4 ± 6.3 | 3.1 ± 6.9 | R FL | Inferior frontal G | 45 |
FT9 | −53.8 ± 3.3 | −2.1 ± 6.0 | −29.1 ± 6.3 | L TL | Inferior temporal G | 20 |
FT7 | −59.2 ± 3.1 | 3.4 ± 5.6 | −2.1 ± 7.5 | L TL | Superior temporal G | 22 |
FC5 | −59.1 ± 3.7 | 3.0 ± 6.1 | 26.1 ± 5.8 | L FL | Precentral G | 6 |
FC3 | −45.5 ± 5.5 | 2.4 ± 8.3 | 51.3 ± 6.2 | L FL | Middle frontal G | 6 |
FC1 | −24.7 ± 5.7 | 0.3 ± 8.5 | 66.4 ± 4.6 | L FL | Superior frontal G | 6 |
FCz | 1.0 ± 5.1 | 1.0 ± 8.4 | 72.8 ± 6.6 | M FL | Superior frontal G | 6 |
FC2 | 26.1 ± 4.9 | 3.2 ± 9.0 | 66.0 ± 5.6 | R FL | Superior frontal G | 6 |
FC4 | 47.5 ± 4.4 | 4.6 ± 7.6 | 49.7 ± 6.7 | R FL | Middle frontal G | 6 |
FC6 | 60.5 ± 2.8 | 4.9 ± 7.3 | 25.5 ± 7.8 | R FL | Precentral G | 6 |
FT8 | 60.2 ± 2.5 | 4.7 ± 5.1 | −2.8 ± 6.3 | L TL | Superior temporal G | 22 |
FT10 | 55.0 ± 3.2 | −3.6 ± 5.6 | −31.0 ± 7.9 | R TL | Inferior temporal G | 20 |
T7 | −65.8 ± 3.3 | −17.8 ± 6.8 | −2.9 ± 6.1 | L TL | Middle temporal G | 21 |
C5 | −63.6 ± 3.3 | −18.9 ± 7.8 | 25.8 ± 5.8 | L PL | Postcentral G | 123 |
C3 | −49.1 ± 5.5 | −20.7 ± 9.1 | 53.2 ± 6.1 | L PL | Postcentral G | 123 |
C1 | −25.1 ± 5.6 | −22.5 ± 9.2 | 70.1 ± 5.3 | L FL | Precentral G | 4 |
Cz | 0.8 ± 4.9 | −21.9 ± 9.4 | 77.4 ± 6.7 | M FL | Precentral G | 4 |
C2 | 26.7 ± 5.3 | −20.9 ± 9.1 | 69.5 ± 5.2 | R FL | Precentral G | 4 |
C4 | 50.3 ± 4.6 | −18.8 ± 8.3 | 53.0 ± 6.4 | R PL | Postcentral G | 123 |
C6 | 65.2 ± 2.6 | −18.0 ± 7.1 | 26.4 ± 6.4 | R PL | Postcentral G | 123 |
T8 | 67.4 ± 2.3 | −18.5 ± 6.9 | −3.4 ± 7.0 | R TL | Middle temporal G | 21 |
TP7 | −63.6 ± 4.5 | −44.7 ± 7.2 | −4.0 ± 6.6 | L TL | Middle temporal G | 21 |
CP5 | −61.8 ± 4.7 | −46.2 ± 8.0 | 22.5 ± 7.6 | L PL | Supramarginal G | 40 |
CP3 | −46.9 ± 5.8 | −47.7 ± 9.3 | 49.7 ± 7.7 | L PL | Inferior parietal G | 40 |
CP1 | −24.0 ± 6.4 | −49.1 ± 9.9 | 66.1 ± 8.0 | L PL | Postcentral G | 7 |
CPz | 0.7 ± 4.9 | −47.9 ± 9.3 | 72.6 ± 7.7 | M PL | Postcentral G | 7 |
CP2 | 25.8 ± 6.2 | −47.1 ± 9.2 | 66.0 ± 7.5 | R PL | Postcentral G | 7 |
CP4 | 49.5 ± 5.9 | −45.5 ± 7.9 | 50.7 ± 7.1 | R PL | Inferior parietal G | 40 |
CP6 | 62.9 ± 3.7 | −44.6 ± 6.8 | 24.4 ± 8.4 | R PL | Supramarginal G | 40 |
TP8 | 64.6 ± 3.3 | −45.4 ± 6.6 | −3.7 ± 7.3 | R TL | Middle temporal G | 21 |
P9 | −50.8 ± 4.7 | −51.3 ± 8.6 | −37.7 ± 8.3 | L TL | Tonsile | NP |
P7 | −55.9 ± 4.5 | −64.8 ± 5.3 | 0.0 ± 9.3 | L TL | Inferior temporal G | 37 |
P5 | −52.7 ± 5.0 | −67.1 ± 6.8 | 19.9 ± 10.4 | L TL | Middle temporal G | 39 |
P3 | −41.4 ± 5.7 | −67.8 ± 8.4 | 42.4 ± 9.5 | L PL | Precuneus | 19 |
P1 | −21.6 ± 5.8 | −71.3 ± 9.3 | 52.6 ± 10.1 | L PL | Precuneus | 7 |
Pz | 0.7 ± 6.3 | −69.3 ± 8.4 | 56.9 ± 9.9 | M PL | Superior parietal L | 7 |
P2 | 24.4 ± 6.3 | −69.9 ± 8.5 | 53.5 ± 9.4 | R PL | Precuneus | 7 |
P4 | 44.2 ± 6.5 | −65.8 ± 8.1 | 42.7 ± 8.5 | R PL | Inferior parietal L | 7 |
P6 | 54.4 ± 4.3 | −65.3 ± 6.0 | 20.2 ± 9.4 | R TL | Middle temporal G | 39 |
P8 | 56.4 ± 3.7 | −64.4 ± 5.6 | 0.1 ± 8.5 | R TL | Inferior temporal G | 19 |
P10 | 51.0 ± 3.5 | −53.9 ± 8.7 | −36.5 ± 10.0 | L OL | Tonsile | NP |
PO7 | −44.0 ± 4.7 | −81.7 ± 4.9 | 1.6 ± 10.6 | R OL | Middle occipital G | 18 |
PO3 | −33.3 ± 6.3 | −84.3 ± 5.7 | 26.5 ± 11.4 | R OL | Superior occipital G | 19 |
POz | 0.0 ± 6.5 | −87.9 ± 6.9 | 33.5 ± 11.9 | M OL | Cuneus | 19 |
PO4 | 35.2 ± 6.5 | −82.6 ± 6.4 | 26.1 ± 9.7 | R OL | Superior occipital G | 19 |
PO8 | 43.3 ± 4.0 | −82.0 ± 5.5 | 0.7 ± 10.7 | R OL | Middle occipital G | 18 |
O1 | −25.8 ± 6.3 | −93.3 ± 4.6 | 7.7 ± 12.3 | L OL | Middle occipital G | 18 |
Oz | 0.3 ± 5.9 | −97.1 ± 5.2 | 8.7 ± 11.6 | M OL | Cuneus | 18 |
O2 | 25.0 ± 5.7 | −95.2 ± 5.8 | 6.2 ± 11.4 | R OL | Middle occipital G | 18 |
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Kasabov, N.K. (2019). Deep Learning and Deep Knowledge Representation of EEG Data. In: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence . Springer Series on Bio- and Neurosystems, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-57715-8_8
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