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Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Modulation in phase and frequency of neural oscillations during epileptiform activity induced by neonatal Zika virus infection in mice
(Nature Publishing Group, 2020-04-21)
Modulation of brain activity is one of the main mechanisms capable of demonstrating the synchronization dynamics of neural oscillations. In epilepsy, modulation is a key concept since seizures essentially result from neural ...
Classification and characterization of places for mapping of environment using hierarchical neural network and omnivision
(Slovak Univ Tech Bratislava, 2008-01-01)
Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the ...
Self-improving generative artificial neural network for pseudorehearsal incremental class learning
(Algorithms, 2019)
Deep learning models are part of the family of artificial neural networks and, as such, they suffer catastrophic interference when learning sequentially. In addition, the greater number of these models have a rigid ...
Sonic Hedgehog modulates EGFR dependent proliferation of neural stem cells during late mouse embryogenesis through EGFR transactivation
(FRONTIERS RESEARCH FOUNDATION, 2013)
Sonic hedgehog modulates egfr dependent proliferation of neural stem cells during late mouse embryogenesis through egfr transactivation
(FRONTIERS RESEARCH FOUNDATION, 2013)