Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

Nikola Kasabov; Kshitij Dhoble; Nuttapod Nuntalid; Ammar W. Mohemmed

doi:10.1007/978-3-642-24965-5_25

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Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

Nikola Kasabov Kshitij Dhoble Nuttapod Nuntalid Ammar W. Mohemmed

Year: 2011 Lecture notes in computer science Pages: 230-239 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-24965-5_25

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Keywords:

Computer science Probabilistic logic Spiking neural network Artificial intelligence Cognitive neuroscience of visual object recognition Object (grammar) Artificial neural network Pattern recognition (psychology) Statistical model Machine learning

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Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural Networks and Reservoir Computing

Physical Sciences → Computer Science → Artificial Intelligence

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

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