Spike-time learning – Bücher zum Thema Spike-time learning finden und kaufen

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

Nikola K. Kasabov
Springer Berlin
353.09 € · Hardcover

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

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 f...

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

Nikola K. Kasabov
Springer Berlin
353.09 € · Paperback

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

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 f...

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

MDPI
58.67 € · Paperback

memristor artificial synapse neuromorphic computing memristor-CMOS hybrid circuit temporal pooling sensory and hippocampal responses cortical neurons hierarchical temporal memory neocortex memristor-CMOS hybrid circuit defect-tolerant spatial pooling boost-factor adjustment memristor crossbar neuromorphic hardware memristor

Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires...

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

Nikola K. Kasabov
Springer Berlin
352.03 € · eBook

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

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 f...

Ergebnisse für: Spike-time learning

Hier findest Du Bücher, die sich mit Spike-time learning beschäftigen.