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Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author 
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  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author
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Browsing Faculty of Design and Creative Technologies (Te Ara Auaha) by Author "Feigin, V"

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    • Evolving Spatio-temporal Data Machines Based on the NeuCube Neuromorphic Framework: Design Methodology and Selected Applications 

      Kasabov, N; Scott, N; Tu, E; Marks, S; Sengupta, S; Capecci, E; Othman, M; Doborjeh, M; Murli, N; Hartono, R; Espinosa-Ramo, JI; Zhou, L; Alvi, F; Wang, G; Taylor, D; Feigin, V; Gulyaev, S; Mahmoud, M; Hou, Z-G; Yang, J (Elsevier, 2015)
      The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM). These are multi-modular ...
    • Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke 

      Kasabov, N; Feigin, V; Hou, Z-G; Chen, Y; Liang, L; Krishnamurthi, R; Othman, M; Parmar, P (Elsevier, 2014)
      The paper presents a novel method and system for personalised (individualised) modelling of spatio/spectro-temporal data (SSTD) and prediction of events. A novel evolving spiking neural network reservoir system (eSNNr) is ...
    • Information methods for predicting risk and outcome of stroke 

      Liang, L; Krishnamurthi, R; Kasabov, N; Feigin, V (Springer Verlag, 2014)
      Stroke is a major cause of disability and mortality in most economically developed countries. It is the second leading cause of death worldwide (after cancer and heart disease) [55.1, 2] and a major cause of disability in ...

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