Appendix D: MATLAB®Programs for Neural Systems

2013 ◽  
pp. 461-471 ◽  
Keyword(s):  
Neural Systems

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.

Brains as Engines of Association

2019 ◽  
Author(s):  
Dale Purves
Keyword(s):  
Neural Systems ◽  
Neural Function ◽  
Trial And Error ◽  
Nervous Systems ◽  
The Past ◽  
Sensing Systems ◽  
Lifetime Experience ◽  
Survival And Reproduction ◽  
Pros And Cons ◽  
And Behavior

Brains as Engines of Association seeks an operating principle of the human brain and is divided into four parts. The first part (“What Nervous Systems Do for Animals”) is intended to set the stage for understanding the emergence of neural systems as promoting what all organisms must accomplish: survival and reproduction. The second part (“Neural Systems as Engines of Association”) lays out the general argument that biological sensing systems face a daunting problem: they cannot measure the parameters of the world in the way physical instruments can. As a result, nervous systems must make and update associations (synaptic connections) on the basis of empirical success or failure over both evolutionary and individual time. The third part (“Evidence that Neural Systems Operate Empirically”) reviews evidence accumulated over the past 20 years that supports this interpretation in vision and audition, the sensory systems that have been most studied from this or any other perspective. Finally, the fourth part (“Alternative Concepts of Neural Function”) considers the pros and cons of other interpretations of how brains operate. The overarching theme is that the nervous systems of humans and every other animal operate on the basis associations between stimuli and behavior made by trial and error over species and lifetime experience.

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