Search ResultsElectronic Resources 
by
Raja, Sachin, author.
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Brain Tumor Segmentation / Raja, Sachin, author.
by
Bao, Siqi, author.
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Label Inference for Atlas-based Sub-cortical Structure Segmentation in Brain Magnetic Resonance
by
Vareth, Maryam, author.
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Acquisition of Multi-Channel Magnetic Resonance Spectroscopic Imaging for Brain Tumor Patients / Vareth
by
He, Lindun, author.
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Brain Atlas and Neuronal Connectivity Visualization and Interaction in Virtual Reality / He, Lindun
by
Liang, Calvin, author.
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Using Brain-Computer Interfaces to Improve Multitasking in Driving / Liang, Calvin, author.
by
Albishri, Ahmed Awad H., author.
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Deep Learning for Semi-Automated Brain Claustrum Segmentation on Magnetic Resonance (MR) Images /
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Rios Piedra, Edgar Anselmo, author.
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Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using
by
Zeng, Tao, author.
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Novel Deep Learning Methods for Brain Image Analysis / Zeng, Tao, author.
by
Neukart, Florian. author.
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accelerated human evolution. Contents Strong AI by Fusing the Human Brain with Technology Continuous
by
Wen, Haiguang, author.
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ultimately build machines that learn, act, and think like humans. In the context of vision, the brain enables
by
Bittner, Rachel, author.
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complex series of processing stages in the brain. Second, it involves performing estimations in the
by
Vaiana, Michael, author. (orcid)0000-0002-4955-4114
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up to seizure. This intricate, multi-scale analysis of brain dynamics enables us to identify evolving
by
Chen, Kenny J., author.
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behavioral labels extracted from pose estimates, for example, could enable more robust brain
by
Crawford, Chris S., author.
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Non-medical Brain-Computer Interfaces (BCIs) are gaining popularity as neurophysiological devices
by
Jalla, Kavya, author.
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neural structure of brain. While training any neural network, it is difficult to understand the features
by
Geller, James.
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Massively Parallel Knowledge Representation and Reasoning: Taking a Cue from the Brain -- Massively
by
Kutt, Brody, author.
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the primate brain. At the core of HTM are spatio-temporal learning algorithms that store, learn
by
Wilkes, M. V. (Maurice Vincent)
ScienceDirect http://www.sciencedirect.com/science/book/9780080502687
Format:
Excerpt:
Brain: Digital or Analog?; References; Chapter 13. Sortware and Industriai Research; A Switch to

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