Name
Abstract | ||
|---|---|---|
The human brain singularly determines an individual's ability to process complex information, reason and form decisions by leveraging an extremely powerful neuronal network. The objective of this study is to develop an understanding of differential activations in various regions of the brain upon presentation of geometrical problems with varying complexity. Logit and structural equation model (SEM) have been employed to determine the activated areas in the brain towards eliciting the difficulty level perception. The proposed method also provides a framework to readout brain structure engaged in difficult and easy problems. We have ranked the dominant voxels on the basis of perceived difficulty which can assist in understanding the neuron connectivity in context of decision making.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3313991.3313992 | Proceedings of the 2019 11th International Conference on Computer and Automation Engineering |
Keywords | DocType | ISSN |
Brodmann Areas, SEM, SPM, fMRI | Conference | 2154-4352 |
ISBN | Citations | PageRank |
978-1-4503-6287-0 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fayyaz Ahmad | 1 | 49 | 10.88 |
| Bushra Talib | 2 | 0 | 0.34 |
| Safee Ullah Ch. | 3 | 0 | 0.34 |