Tutorial IJCNNSpiking Neural Networks for Machine Learning and Predictive Data Modelling: Methods, Systems, Applications Nikola Kasabov, FIEEE and Nathan Scott Knowledge Engineering and Discovery Research Institut

First Page		Document Content
Date: 2014-07-16 23:21:47 Computational neuroscience Artificial neural networks Computational statistics Neuroscience Neural networks Spiking neural network Computational intelligence Neuromorphic engineering Neuroinformatics CoDi Connectionism Biological neural network		Tutorial IJCNNSpiking Neural Networks for Machine Learning and Predictive Data Modelling: Methods, Systems, Applications Nikola Kasabov, FIEEE and Nathan Scott Knowledge Engineering and Discovery Research Institut Add to Reading List Source URL: www.conference123.org Download Document from Source Website File Size: 206,36 KB Share Document on Facebook

	Department of Informatics - Institute of Neuroinformatics Ultimate SLAM? Robust Visual SLAM with Events, Images and IMU Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza DocID: 1xUIH - View Document
	EVO: Event-based 6-DOF Parallel Tracking and Mapping in Real-time Department of Informatics - Institute of Neuroinformatics Henri Rebecq, Timo Horstschaefer, Guillermo Gallego, Davide Scaramuzza DocID: 1xTWE - View Document
	Department of Informatics - Institute of Neuroinformatics Place Recognition in Semi-Dense Maps: Geometric and Learning-Based Approaches Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza DocID: 1vivX - View Document
	Prof. Dr. Gordon Pipa Full Professor Chair of the Neuroinformatics Department Institute of Cognitive Science DocID: 1uOF3 - View Document
	Neuroinformatics Copyright © Humana Press Inc. All rights of any nature whatsoever are reserved. ISSN:3–42/$Original Article DocID: 1uM0u - View Document