Scene Content Classification and Segmentation using Convolution Neural Systems

2018 ◽  
Vol 6 (6) ◽  
pp. 1316-1320
Author(s):  
K. V. Mounika ◽  
N. K. Kameswara Rao
Keyword(s):  
Neural Systems ◽  
Content Classification ◽  
Scene Content

Effects of Working Memory Training on Neural Systems

2013 ◽  
Author(s):  
Hikaru Takeuchi ◽  
Yasuyuki Taki ◽  
Ryuta Kawashima
Keyword(s):  
Working Memory ◽  
Working Memory Training ◽  
Neural Systems ◽  
Memory Training

Neural systems engaged by romantic love: An fMRI study

2004 ◽  
Author(s):  
Arthur Aron ◽  
Helen Fisher ◽  
Debra Mashek ◽  
Greg Strong ◽  
Haifang Li ◽  
...  
Keyword(s):  
Romantic Love ◽  
Neural Systems ◽  
Fmri Study

Some thoughts on lexemes, the dome, and inner speech

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
William Benzon
Keyword(s):  
Language Development ◽  
Common Sense ◽  
Cognitive Structure ◽  
External World ◽  
Inner Speech ◽  
Neural Systems ◽  
The Common

Sydney Lamb’s model focuses our attention on the physicality of language, of the signs themselves as objects in the external world and the neural systems the support them. By means of the metaphor of a cognitive dome, he demonstrates that there is no firm line between linguistic and cognitive structure. In this context, I offer physically grounded accounts of Jakobson’s metalingual and emotive functions. Drawing on Vygotsky’s account of language development, I point out that inner speech, corresponding to the common sense notion of thought, originates in a circuit that goes through the external world and is then internalized.

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