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Address Based Graphs

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BioInformation Processing

Part of the book series: Cognitive Science and Technology ((CSAT))

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Abstract

In this chapter, nodes are now implemented using both a global node number and a vector address giving us address based graph models. Here, the vector address is a six dimensional one with each entry being an integer. Hence, a neural module has a six dimensional address that states explicitly what its position in the neural circuit is; i.e. it is a node in the right brain, visual cortex, can 4, OCOS 3, FFP 3 and Layer 2/3 3. All of the MatLab codes are then rewritten to use addresses. This requires the ability to move seamlessly from the address of a node and it global node number and vice versa. Hence, all backward and forward node information sets must come in two flavors: addresses and global numbers. All of this is worked out along with appropriate training code.

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Correspondence to James K. Peterson .

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© 2016 Springer Science+Business Media Singapore

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Peterson, J.K. (2016). Address Based Graphs. In: BioInformation Processing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-287-871-7_19

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  • DOI: https://doi.org/10.1007/978-981-287-871-7_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-869-4

  • Online ISBN: 978-981-287-871-7

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