Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author's contribution to the area. The book introduce...

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Detaylı Bibliyografya
Yazar: Kasabov, Nikola K. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Springer Series on Bio- and Neurosystems, 7
Konular:
Computational intelligence.
Bioinformatics.
Neurosciences.
Control engineering.
Robotics.
Automation.
Pattern recognition systems.
Computational Intelligence.
Computational and Systems Biology.
Neuroscience.
Control, Robotics, Automation.
Automated Pattern Recognition.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • Part I. Time-Space and AI
  • Part II. The Human Brain
  • Part III. Spiking Neural Networks
  • Part IV. SNN for Deep Learning and Deep Knowledge Representation of Brain Data
  • Part V. SNN for Audio-Visual Data and Brain-Computer Interfaces
  • Part VI. SNN in Bio- and Neuroinformatics
  • Part VII. SNN for Deep in Time-Space Learning and Deep Knowledge Representation of Multisensory Streaming Data
  • Part VIII. Future development in BI-SNN and BI-AI.

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