Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
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Published By Springer Berlin Heidelberg

9783662577134, 9783662577158

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From von Neumann Machines to Neuromorphic Platforms

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_20 ◽

2018 ◽

pp. 661-677

Author(s):

Nikola K. Kasabov

Keyword(s):

Von Neumann

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Personalised Modelling for Integrated Static and Dynamic Data. Applications in Neuroinformatics

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_18 ◽

2018 ◽

pp. 593-615 ◽

Cited By ~ 1

Author(s):

Nikola K. Kasabov

Keyword(s):

Dynamic Data

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Audio- and Visual Information Processing in the Brain and Its Modelling with Evolving SNN

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_12 ◽

2018 ◽

pp. 431-456 ◽

Cited By ~ 1

Author(s):

Nikola K. Kasabov

Keyword(s):

Information Processing ◽

Visual Information ◽

Visual Information Processing ◽

The Brain

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Methods of Spiking Neural Networks

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_4 ◽

2018 ◽

pp. 127-167

Author(s):

Nikola K. Kasabov

Keyword(s):

Neural Networks ◽

Spiking Neural Networks

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Computational Neuro-genetic Modelling

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_16 ◽

2018 ◽

pp. 545-561

Author(s):

Nikola K. Kasabov

Keyword(s):

Genetic Modelling

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Deep Learning and Deep Knowledge Representation in the Human Brain

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_3 ◽

2018 ◽

pp. 87-123

Author(s):

Nikola K. Kasabov

Keyword(s):

Deep Learning ◽

Knowledge Representation ◽

Human Brain ◽

Deep Knowledge

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Evolutionary- and Quantum-Inspired Computation. Applications for SNN Optimisation

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_7 ◽

2018 ◽

pp. 245-287

Author(s):

Nikola K. Kasabov

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From Claude Shannon’s Information Entropy to Spike-Time Data Compression Theory

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_21 ◽

2018 ◽

pp. 679-699

Author(s):

Nikola K. Kasabov

Keyword(s):

Data Compression ◽

Information Entropy ◽

Spike Time ◽

Time Data

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From Brain-Inspired AI to a Symbiosis of Human Intelligence and Artificial Intelligence

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_22 ◽

2018 ◽

pp. 701-714

Author(s):

Nikola K. Kasabov

Keyword(s):

Artificial Intelligence ◽

Human Intelligence

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Deep Learning and Modelling of Audio-, Visual-, and Multimodal Audio-Visual Data in Brain-Inspired SNN

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ◽

10.1007/978-3-662-57715-8_13 ◽

2018 ◽

pp. 457-477

Author(s):

Nikola K. Kasabov

Keyword(s):

Deep Learning ◽

Visual Data

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Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

From von Neumann Machines to Neuromorphic Platforms

Personalised Modelling for Integrated Static and Dynamic Data. Applications in Neuroinformatics

Audio- and Visual Information Processing in the Brain and Its Modelling with Evolving SNN

Methods of Spiking Neural Networks

Computational Neuro-genetic Modelling

Deep Learning and Deep Knowledge Representation in the Human Brain

Evolutionary- and Quantum-Inspired Computation. Applications for SNN Optimisation

From Claude Shannon’s Information Entropy to Spike-Time Data Compression Theory

From Brain-Inspired AI to a Symbiosis of Human Intelligence and Artificial Intelligence

Deep Learning and Modelling of Audio-, Visual-, and Multimodal Audio-Visual Data in Brain-Inspired SNN

Springer Series on Bio- and Neurosystems - Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
Latest Publications