東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

BioInformation processing = a primer...

Peterson, James K.

Linked to FindBook

Google Book

Amazon

博客來

BioInformation processing = a primer on computational cognitive science /

Record Type:	Electronic resources : Monograph/item
Title/Author:	BioInformation processing/ by James K. Peterson.
Reminder of title:	a primer on computational cognitive science /
Author:	Peterson, James K.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	xxxv, 570 p. :ill., digital ;24 cm.
[NT 15003449]:	BioInformation Processing -- The Diﬀusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diﬀusion 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.
Contained By:	Springer eBooks
Subject:	Bioinformatics. -
Online resource:	http://dx.doi.org/10.1007/978-981-287-871-7
ISBN:	9789812878717$q(electronic bk.)

BioInformation processing = a primer on computational cognitive science /
Peterson, James K.

BioInformation processinga primer on computational cognitive science /[electronic resource] :by James K. Peterson. - Singapore :Springer Singapore :2016. - xxxv, 570 p. :ill., digital ;24 cm. - Cognitive science and technology,2195-3988. - Cognitive science and technology..

BioInformation Processing -- The Diﬀusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diﬀusion 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.

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.

ISBN: 9789812878717$q(electronic bk.)

Standard No.: 10.1007/978-981-287-871-7doiSubjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

BioInformation processing = a primer on computational cognitive science /
LDR:02470nmm a2200325 a 4500 001 2030921
003 DE-He213
005 20160823165035.0
006 m d
007 cr nn 008maaau
008 160908s2016 si s 0 eng d
020 $a 9789812878717$q(electronic bk.)
020 $a 9789812878694$q(paper)
024 7 $a 10.1007/978-981-287-871-7 $2 doi
035 $a 978-981-287-871-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .P485 2016
100 1 $a Peterson, James K. $3 2182989
245 1 0 $a BioInformation processing $h [electronic resource] : $b a primer on computational cognitive science / $c by James K. Peterson.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a xxxv, 570 p. : $b ill., digital ; $c 24 cm.
490 1 $a Cognitive science and technology, $x 2195-3988
505 0 $a BioInformation Processing -- The Diﬀusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diﬀusion 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.
520 $a 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.
650 0 $a Bioinformatics. $3 553671
650 0 $a Computational neuroscience. $3 610819
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 1066859
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Cognitive science and technology. $3 2059444
856 4 0 $u http://dx.doi.org/10.1007/978-981-287-871-7
950 $a Engineering (Springer-11647)