Visual Population Codes: Toward a Common Multivariate Framework for Cell Recording and Functional Imaging (Hardcover)
暫譯: 視覺人口編碼:朝向細胞記錄與功能影像的共同多變量框架 (精裝版)

Nikolaus Kriegeskorte, Gabriel Kreiman

  • 出版商: MIT
  • 出版日期: 2011-11-04
  • 售價: $2,128
  • 貴賓價: 9.8$2,085
  • 語言: 英文
  • 頁數: 656
  • 裝訂: Hardcover
  • ISBN: 0262016249
  • ISBN-13: 9780262016247
  • 相關分類: 人工智慧大數據 Big-dataData Science
  • 立即出貨 (庫存 < 3)

商品描述

Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across the local population of neurons. Understanding visual population codes ultimately requires multichannel measurement and multivariate analysis of activity patterns. Over the past decade, the multivariate approach has gained significant momentum in vision research. Functional imaging and cell recording measure brain activity in fundamentally different ways, but they now use similar theoretical concepts and mathematical tools in their modeling and analyses. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the beginnings of a unified perspective for cell recording and functional imaging. It serves as an introduction, overview, and reference for scientists and students across disciplines who are interested in human and primate vision and, more generally, in understanding how the brain represents and processes information.

商品描述(中文翻譯)

視覺是一個大規模並行的計算過程,其中視網膜影像經過一系列階段的轉換,以強調行為上相關的信息(例如物體類別和身份),並淡化其他信息(例如視角和光照)。視覺背後的過程通過神經元之間的並行計算和信息傳遞在視覺區域內及不同區域之間運作。理論概念「群體編碼」(population code)概括了視覺內容在每個階段由局部神經元群體的活動模式所表示的想法。理解視覺群體編碼最終需要多通道測量和多變量分析活動模式。在過去十年中,多變量方法在視覺研究中獲得了顯著的動力。功能影像學和細胞記錄以根本不同的方式測量大腦活動,但它們現在在建模和分析中使用相似的理論概念和數學工具。本書專注於被認為是物體識別基礎的腹側處理通路,介紹了我們對視覺群體編碼的理解的最新進展、新穎的多變量模式信息分析技術,以及細胞記錄和功能影像學的統一視角的開始。它作為一個介紹、概述和參考,適合對人類和非人類靈長類動物的視覺感興趣的科學家和學生,以及更廣泛地理解大腦如何表示和處理信息的讀者。

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