Neural Information Processing Models (68 results)

Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. No marks in text. Not a library book. Ships in a cardboard enclosure. Tim's Used Books, open shop in Provincetown, Massachusetts, buyers and sellers of good books at fair prices since 1991. Come visit! Please contact us if downsizing your library; we travel worldwide to buy good collections.…

Condition: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.…

Condition: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.

hardcover. Condition: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New. Editor(s): Rao, Rajesh P. N.; Olshausen, Bruno A.; Lewicki, Michael S. Series: Neural Information Processing Series. Num Pages: 334 pages. BIC Classification: MJN. Category: (P) Professional & Vocational. Dimension: 254 x 203 x 25. Weight in Grams: 971. . 2002. paperback. . . . .

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. Oversized cloth hardcover, x + 324 pages, NOT ex-library. Weight 1065g. Gentle handling wear, book is clean and bright with unmarked text, free of inscriptions and stamps. Lightly shelfworn, untorn dust jacket.

Condition: New. Editor(s): Rao, Rajesh P. N.; Olshausen, Bruno A.; Lewicki, Michael S. Series: Neural Information Processing Series. Num Pages: 334 pages. BIC Classification: MJN. Category: (P) Professional & Vocational. Dimension: 254 x 203 x 25. Weight in Grams: 971. . 2002. paperback. . . . . Books ship from the US and Ireland. …

Condition: New.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: New.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condition: Brand New. 210 pages. 6.14x0.48x9.21 inches. In Stock.

Condition: New. In English.

hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009 and the M.Tech degree in Biomedical Engineering from the National Instit.

Condition: New. 2024. paperback. . . . . .

hardcover. Condition: Very Good.

Taschenbuch. Condition: Neu. Neuware - The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: - Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals - Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface - Highlights the latest machine learning and deep learning methods for neural signal processing - Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis - Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.…

Condition: New. 2024. paperback. . . . . . Books ship from the US and Ireland.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity may express that neurons process the same "object" of, for example, a visual scene by spiking at the very same time. The traditional description of a neural network through a firing rate, the famous S-shaped curve, presupposes a wide time window of, say, at least 100 ms. It thus fails to exploit the capacity to "bind" sets of coherently firing neurons for the purpose of both scene segmentation and figure-ground segregation. Feedback is a dominant feature of the structural organization of the brain. Recurrent neural networks have been studied extensively in the physical literature, starting with the ground breaking work of John Hop­ field (1982).…