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Spiking neural network methodology for modelling, classification and understanding of EEG spatio-temporal data measuring cognitive processes
Nikola Kasabov
, Elisa Capecci
School of Computing, Eng & Intel. Sys
Research output
:
Contribution to journal
›
Article
›
peer-review
63
Citations (Scopus)
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Mathematics
Spiking Neural Networks
100%
Electroencephalography
87%
Spatio-temporal Data
87%
Brain
60%
Methodology
40%
Modeling
36%
Brain-computer Interface
20%
Network Architecture
16%
Rehabilitation
16%
Data Classification
16%
Alzheimer's Disease
15%
Data Modeling
14%
Measure Data
14%
Benchmark
10%
Framework
6%
Business & Economics
Neural Networks
66%
Cognitive Processes
62%
Modeling
32%
Methodology
28%
Alzheimer's Disease
18%
Data Modeling
14%
Rehabilitation
10%
Benchmark
8%
Engineering & Materials Science
Electroencephalography
53%
Brain
46%
Neural networks
33%
Patient rehabilitation
10%
Network architecture
10%
Data structures
9%