عنوان

Time-space, spiking neural networks and brain-inspired artificial intelligence /

(Number (ISBN

3662577143

(Number (ISBN

3662577151

(Number (ISBN

366258607X

(Number (ISBN

9783662577141

(Number (ISBN

9783662577158

(Number (ISBN

9783662586075

Erroneous ISBN

3662577135

Erroneous ISBN

9783662577134

Title Proper

Time-space, spiking neural networks and brain-inspired artificial intelligence /

General Material Designation

[Book]

First Statement of Responsibility

Nikola K. Kasabov.

Place of Publication, Distribution, etc.

Berlin :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource

Series Title

Springer series on bio- and neurosystems ;

Volume Designation

volume 7

Text of Note

Tim-space and AI articficial neural networks -- The human brain -- Spiking neural networks -- Deep learning and deep knowledge representation of brain data -- SNN for audio-visual data and brain-computer interfaces -- SNN inbio-and neuroinformatics -- Deep in tim-space learning and deep knowledge representation of multisensory streaming data -- Future development in BI-SNN and BI-AI.

0

Text of Note

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 introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783662577158

Title

Time-space, spiking neural networks and brain-inspired artificial intelligence.

International Standard Book Number

9783662577134

Computational neuroscience.

Machine learning.

Neural networks (Computer science)

Object-oriented methods (Computer science)

Artificial intelligence.

Computational neuroscience.

COMPUTERS-- Programming-- Object Oriented.

Life sciences: general issues.

Machine learning.

Neural networks (Computer science)

Neurosciences.

Object-oriented methods (Computer science)

Pattern recognition.

Robotics.

COM-- 051210

UYQ

UYQ

Number

Edition

Class number

Kasabov, Nikola K.

Date of Transaction

20200823192234.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y