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| 008 | 000225s2000 ctu 000 0 eng | |
| 010 | ▼a 00026937 | |
| 020 | ▼a 0300084730 (pbk.) | |
| 040 | ▼a DLC ▼c DLC ▼d CIT ▼d UKM ▼d 211009 | |
| 042 | ▼a pcc | |
| 049 | 1 | ▼l 111241127 |
| 050 | 0 0 | ▼a QA76 ▼b .V6 2000 |
| 082 | 0 0 | ▼a 003.5 ▼2 21 |
| 090 | ▼a 003.5 ▼b V945c2 | |
| 100 | 1 | ▼a Von Neumann, John, ▼d 1903-1957. |
| 245 | 1 4 | ▼a The computer and the brain / ▼c John von Neumann ; with a foreword by Paul M. Churchland and Patricia S. Churchland. |
| 250 | ▼a 2nd ed. | |
| 260 | ▼a New Haven, CT : ▼b Yale University Press, ▼c 2000. | |
| 300 | ▼a xxviii, 82 p. ; ▼c 19 cm. | |
| 440 | 0 | ▼a Mrs. Hepsa Ely Silliman memorial lectures |
| 440 | 0 | ▼a Yale Nota bene |
| 505 | 0 0 | ▼t Part 1 - The computer -- ▼t The analog procedure -- ▼t The digital procedure -- ▼t Logical control -- ▼t Mixed numerical procedures -- ▼t Characteristics of modern analog machines -- ▼t Characteristics of modern digital machines -- ▼t Part 2 - The brain -- ▼t Simplified description of the function of the neuron -- ▼t The nature of the nerve impulse -- ▼t Simulation criteria -- ▼t The problem of memory within the nervous system -- ▼t Digital and analog parts in the nervous systems -- ▼t Codes and their role in the control of the functioning of a machine -- ▼t The logical structure of the nervous system -- ▼t Nature of the nervous system of notations employed : not digital but statistical -- ▼t The language of the brain not the language of mathematics. |
| 650 | 0 | ▼a Computers. |
| 650 | 0 | ▼a Cybernetics. |
| 700 | 1 | ▼a Churchland, Paul M., ▼d 1942- ▼0 AUTH(211009)54749. |
| 700 | 1 | ▼a Churchland, Patricia Smith, ▼d 1943- ▼0 AUTH(211009)34357. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 003.5 V945c2 | 등록번호 111241127 (6회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book represents the views of one of the greatest mathematicians of the twentieth century on the analogies between computing machines and the living human brain. John von Neumann concludes that the brain operates in part digitally, in part analogically, but uses a peculiar statistical language unlike that employed in the operation of man-made computers. This edition includes a new foreword by two eminent figures in the fields of philosophy, neuroscience, and consciousness.
정보제공 :
저자소개
폴 처칠랜드(지은이)
UCSD(캘리포니아 대학교 샌디에이고)의 철학과 교수이며, 인지과학, 과학연구 및 신경계산연구소 등 여러 연구 프로그램의 구성원이다. 저서로 <과학적 실재론과 마음의 가소성(Scientific Realism and the Plasticity of Mind)>, <물질과 의식(Matter and Consciousness)>, <신경계산적 전망: 마음의 본성과 과학의 구조(A Neurocomputational Perspective: The Nature of Mind and the Structure of Science)>, <플라톤의 카메라: 물리적 뇌가 추상적 보편자의 풍경을 어떻게 담아내는가(Plato’s Cameras: How the Physical Brain Captures a Landscape of Abstract Universals)> 등이 있다.
Patricia Smith Churchland(지은이)
John Von Neumann(지은이)
John Von Neumann(지은이)
목차
CONTENTS Foreword to the Second Edition = xi Preface / Klara von Neumann = xxiii Introduction = 1 PART 1. THE COMPUTER = 3 The Analog Procedure = 3 The Conventional Basic Operations = 4 Unusual Basic Operations = 4 The Digital Procedure = 6 Markers, Their Combinations and Embodiments = 6 Digital Machine Types and Their Basic Component = 7 Parallel and Serial Schemes = 8 The Conventional Basic Operations = 8 Logical Control = 11 Plugged Control = 12 Logical Tape Control = 12 The Principle of Only One Organ for Each Basic Operation = 13 The Consequent Need for a Special Memory Organ = 14 Control by "Control Sequence" Points = 14 Memory-Stored Control = 17 Modus Operandi of the Memory-Stored Control = 19 Mixed Forms of Control = 20 Mixed Numerical Procedures = 22 Mixed Representations of Numbers. Machines Built on This Basis = 22 Precision = 24 Reasons for the High(Digital) Precision Requirements = 26 Characteristics of Modern Analog Machines = 28 Characteristics of Modern Digital Machines = 29 Active Components ; Questions of Speed = 30 Number of Active Components Required = 30 Memory Organs. Access Times and Memory Capacities = 31 Memory Registers Built from Active Organs = 32 The Hierarchic Principle for Memory Organs = 33 Memory Components ; Questions of Access = 34 Complexities of the Concept of Access Time = 36 The Principle of Direct Addressing = 37 PART 2. THE BRAIN = 39 Simplified Description of the Function of the Neuron = 39 The Nature of the Nerve Impulse = 40 The Process of Stimulating = 42 The Mechanism of Stimulating Pulses by Pulses ; Its Digital Character = 43 Time Characteristics of Nerve Response, Fatigue, and Recovery = 44 Size of a Neuron. Comparisons with Artificial Components = 47 Energy Dissipation. Comparisons with Artificial Components = 49 Summary of Comparisons = 50 Stimulation Criteria = 52 The Simplest - Elementary Logical = 52 More Complicated Stimulation Criteria = 53 The Threshold = 55 The Summation Time = 55 Stimulation Criteria for Receptors = 56 The Problem of Memory within the Nervous System = 60 Principles for Estimating the Capacity of the Memory in the Nervous System = 61 Memory Capacity Estimates with These Stipulations = 63 Various Possible Physical Embodiments of the Memory = 64 Analogies with Artificial Computing Machines = 66 The Underlying Componentry of the Memory Need Not Be the Same as That of the Basic Active Organs = 66 Digital and Analog Parts in the Nervous System = 68 Role of the Genetic Mechanism in the Above Context = 69 Codes and Their Role in the Control of the Functioning of a Machine = 70 The Concept of a Complete Code = 70 The Concept of a Short Code = 71 The Function of a Short Code = 72 The Logical Structure of the Nervous System = 74 Importance of the Numerical Procedures = 74 Interaction of Numerical Procedures with Logic = 76 Reasons for Expecting High Precision Requirements = 75 Nature of the System of Notations Employed Not Digital but Statistical = 76 Arithmetical Deterioration. Roles of Arithmetical and Logical Depths = 78 Arithmetical Precision or Logical Reliability, Alternatives = 79 Other Statistical Traits of the Message System That Could Be Used = 80 The Language of the Brain Not the Language of Mathematics = 80