, 2021 Machine learning technologies have been growing rapidly in recent years. Researchers have come up with several data processing architectures, enabling machines to consume, interpret, and produce understandable output from real-world data to improve the ...
Abdullah, Mohd Hafizul Afifi
core
, 2017 Arguably the most significant challenge in modern machine learning regards how we address the complexities of Spatio- and Spectro-Temporal Data (SSTD); i.e., data with some spatial, spectral, and temporal component.
Scott, Nathan Matthew
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Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals. [PDF]
Sci Rep, 2021 Saeedinia SA +3 more
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Neuromorphic computing facilitates deep brain-machine fusion for high-performance neuroprosthesis. [PDF]
Front Neurosci, 2023 Qi Y, Chen J, Wang Y.
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The Effect of Prior Programming Knowledge on Memory Efficiency When Learning a New Language
Learning computer programming is a demanding cognitive task that requires a number of competencies. Students with limited problem-solving skills or prior programming knowledge find it challenging to understand the abstract concepts involved. While much
Kasabov, Nikola +3 more
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An overview of brain-like computing: Architecture, applications, and future trends. [PDF]
Front Neurorobot, 2022 Ou W, Xiao S, Zhu C, Han W, Zhang Q.
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Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification. [PDF]
Sensors (Basel), 2020 Vanarse A +4 more
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Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. [PDF]
Sensors (Basel), 2021 Doborjeh M +4 more
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, 2016 A new framework in this study, which uses spiking neural networks for learning spectro-temporal and spatio-temporal data, is the NeuCube. The NeuCube is able to learn and classify and predict data, both in online and offline modes.
Nayak, Parag Ganesh
core
Case Study-Spiking Neural Network Hardware System for Structural Health Monitoring. [PDF]
Sensors (Basel), 2020 Pang L +6 more
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