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Doborjeh et al., 2014 - Google Patents

Classification and segmentation of fMRI spatio-temporal brain data with a NeuCube evolving spiking neural network model

Doborjeh et al., 2014

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Document ID
11384782058737169582
Author
Doborjeh M
Capecci E
Kasabov N
Publication year
Publication venue
2014 IEEE symposium on evolving and autonomous learning systems (EALS)

External Links

Snippet

The proposed feasibility analysis introduces a new methodology for modelling and understanding functional Magnetic Resonance Image (fMRI) data recorded during human cognitive activity. This constitutes a type of Spatio-Temporal Brain Data (STBD) measured …
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Classifications

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    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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