The Resource BioInformation Processing : A Primer on Computational Cognitive Science, by James K. Peterson, (electronic resource)

BioInformation Processing : A Primer on Computational Cognitive Science, by James K. Peterson, (electronic resource)

Label
BioInformation Processing : A Primer on Computational Cognitive Science
Title
BioInformation Processing
Title remainder
A Primer on Computational Cognitive Science
Statement of responsibility
by James K. Peterson
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction
Member of
http://library.link/vocab/creatorName
Peterson, James K
Image bit depth
0
LC call number
Q342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Cognitive Science and Technology,
http://library.link/vocab/subjectName
  • Engineering
  • Artificial intelligence
  • Computer graphics
  • Neural networks (Computer science)
  • Physics
  • Computational intelligence
  • Engineering
  • Computational Intelligence
  • Theoretical, Mathematical and Computational Physics
  • Mathematical Models of Cognitive Processes and Neural Networks
  • Artificial Intelligence (incl. Robotics)
  • Computer Imaging, Vision, Pattern Recognition and Graphics
Label
BioInformation Processing : A Primer on Computational Cognitive Science, by James K. Peterson, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
BioInformation Processing -- The Diï¬usion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diï¬usion Pathways -- The Abstract Neuron Model -- Emotional Models -- Generation of Music Data: J. Peterson and L. Dzuris -- Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson -- Modeling Compositional Design -- Networks Of Excitable Neurons -- Training The Model -- Matrix Feed Forward Networks -- Chained Feed Forward Architectures -- Graph Models -- Address Based Graphs -- Building Brain Models -- Models of Cognitive Dysfunction -- Conclusions -- Background Reading
Dimensions
unknown
Edition
1st ed. 2016.
Extent
XXXV, 570 p. 165 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789812878717
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-287-871-7
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-287-871-7
Label
BioInformation Processing : A Primer on Computational Cognitive Science, by James K. Peterson, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
BioInformation Processing -- The Diï¬usion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diï¬usion Pathways -- The Abstract Neuron Model -- Emotional Models -- Generation of Music Data: J. Peterson and L. Dzuris -- Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson -- Modeling Compositional Design -- Networks Of Excitable Neurons -- Training The Model -- Matrix Feed Forward Networks -- Chained Feed Forward Architectures -- Graph Models -- Address Based Graphs -- Building Brain Models -- Models of Cognitive Dysfunction -- Conclusions -- Background Reading
Dimensions
unknown
Edition
1st ed. 2016.
Extent
XXXV, 570 p. 165 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789812878717
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-287-871-7
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-287-871-7

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