Neural Nets and Chaotic Carriers

By:

Whittle, Peter [author]

Material type:

TextLanguage: English Series: Advances in computer science and engineeringPublication details: London : I C P , 2010 .Edition: 2ndDescription: xii,230pISBN:

9781848165908

Subject(s):

Other classification:

D65,8(B):(S:72) Q0 TC

Summary: Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.Design is based on the criterion that an associative memory must be able to cope with “fading data”, i.e., to form an inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are combined with the Freeman specification of a neural oscillator, some remarkable effects emerge. For example, the commonly-observed phenomenon of neuronal bursting appears, with gamma-range oscillation modulated by a low-frequency square-wave oscillation (the “escapement oscillation”). Bridging studies and new results of artificial and biological neural networks, the book has a strong research character. It is, on the other hand, accessible to non-specialists for its concise exposition on the basics.

Item type:

Reference

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Reference	Central Science Library	Central Science Library			D65,8(B):(S:72) Q0 TC (Browse shelf(Opens below))		vol.5			Not for loan			SL1558509

Browsing Central Science Library shelves Close shelf browser (Hides shelf browser)

Previous								Next
Previous	D65,8(B):(C5:22) R2 Selection of image processing techniques: From fundamentals to research front	D65,8(B)k P4 Illustrated dictionary of computer science	D65,8(B):(S:72) Probabilistic Machine Learning : Advanced Topics	D65,8(B):(S:72) Q0 TC Neural Nets and Chaotic Carriers	D65,8(B):(S:72) Q0 TD On-Line Trajectory Generation in Robotic Systems : Basic Concepts for Instantaneous Reactions to Unforeseen (Sensor) Events	D65,8(B):(S:72) Q2;Q7 First Course in Machine Learning	D65,8(B):(S:72) Q5;R1 Introduction to machine learning	Next

Appendix 213-218p.; References 219-224p.; Index 225-230p.

Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels.Design is based on the criterion that an associative memory must be able to cope with “fading data”, i.e., to form an inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are combined with the Freeman specification of a neural oscillator, some remarkable effects emerge. For example, the commonly-observed phenomenon of neuronal bursting appears, with gamma-range oscillation modulated by a low-frequency square-wave oscillation (the “escapement oscillation”). Bridging studies and new results of artificial and biological neural networks, the book has a strong research character. It is, on the other hand, accessible to non-specialists for its concise exposition on the basics.

There are no comments on this title.

to post a comment.