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The computational brain

The computational brain (Loan 2 times)

Material type
단행본
Personal Author
Churchland, Patricia Smith. Sejnowski, Terrence J. (Terrence Joseph)
Title Statement
The computational brain / Patricia S. Churchland and Terrence J. Sejnowski.
Publication, Distribution, etc
Cambridge, Mass. :   MIT Press,   c1992.  
Physical Medium
xi, 544 p. : ill. ; 27 cm.
Series Statement
Computational neuroscience
ISBN
0262031884
General Note
"A Bradford book."  
Bibliography, Etc. Note
Includes bibliographical references (p. [479]-523) and index.
Subject Added Entry-Topical Term
Brain -- Computer simulation. Neural networks (Neurobiology) Brain -- physiology. Computer Simulation. Models, Neurological. Neurosciences -- methods.
비통제주제어
Humans, Brain,,
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001 000000853140
005 20031208105956
008 910718s1992 maua b 001 0 eng c
010 ▼a 91028056 //r93
020 ▼a 0262031884
040 ▼a DNLM/DLC ▼c DLC ▼d NLM ▼d UKM ▼d 211009
049 1 ▼l 111272900
050 0 0 ▼a QP356 ▼b .C48 1992
082 0 0 ▼a 612.8/2/0113 ▼2 21
090 ▼a 612.82 ▼b C563c
100 1 ▼a Churchland, Patricia Smith.
245 1 4 ▼a The computational brain / ▼c Patricia S. Churchland and Terrence J. Sejnowski.
260 ▼a Cambridge, Mass. : ▼b MIT Press, ▼c c1992.
300 ▼a xi, 544 p. : ▼b ill. ; ▼c 27 cm.
440 0 ▼a Computational neuroscience
500 ▼a "A Bradford book."
504 ▼a Includes bibliographical references (p. [479]-523) and index.
650 0 ▼a Brain ▼x Computer simulation.
650 0 ▼a Neural networks (Neurobiology)
650 2 ▼a Brain ▼x physiology.
650 2 ▼a Computer Simulation.
650 2 ▼a Models, Neurological.
650 2 ▼a Neurosciences ▼x methods.
653 0 ▼a Humans ▼a Brain
700 1 ▼a Sejnowski, Terrence J. ▼q (Terrence Joseph)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 612.82 C563c Accession No. 111272900 Availability Available Due Date Make a Reservation Service B M

Contents information

Author Introduction

테런스 J. 세즈노스키(지은이)

소크생물학연구소Salk Institute for Biological Studies의 프랜시스 크릭Francis Crick 석좌교수이자 캘리포니아대학교 샌디에이고 캠퍼스UCSD의 교수로 재직 중이다. 버락 오바마 행정부의 브레인 이니셔티브BRAIN Initiative에서 자문위원으로 활동했으며, 현재 인공지능 분야 최고 학회인 NeurIPS의 의장직을 수행하고 있다. 딥러닝 기술의 초석이 된 볼츠만 머신 알고리즘을 제프리 힌튼과 함께 개발한 것을 비롯해 뉴럴 네트워크의 학습 이론에 대한 다수의 논문을 발표했다. 머신러닝 및 신경과학 최고 권위자 중 한 명인 세즈노스키 교수는 한국에서 열린 ‘2018 인공지능 국제컨퍼런스’에 기조연설자로 참여해, ‘딥러닝 혁명’이라는 주제로 딥러닝의 현황과 미래를 통찰력 있게 조망한 바 있다. 그는 이 책에서 인공지능의 발전에 변곡점 역할을 한 딥러닝 기술이 현재에 이르기까지의 과정, 앞으로 딥러닝이 만들어낼 혁신과 변화에 대해서 풀어내고 있다.

Patricia Smith Churchland(지은이)

Information Provided By: : Aladin

Table of Contents


CONTENTS
Preface = ⅸ
1 Introduction = 1
2 Neuroscience Overview = 17
 Introduction = 17
 Levels in nervous systems = 18
 Structure at various levels of organization = 27
 A short list of brain facts = 48
3 Computational Overview = 61
 Introduction = 61
 Looking up the answer = 69
 Linear associators = 77
 Constraint satisfaction : Hopfield networks and Boltzmann machines = 82
 Learning in neural nets = 96
 Competitive learning = 102
 Curve fitting = 105
 Feedforward nets : Two examples = 107
 Recurrent nets = 115
 From toy world to real world = 125
 What good are optimization procedures to neuroscience? = 130
 Models : Realistic and abstract = 136
 Concluding remarks = 137
4 Representing the World = 141
 Introduction = 141
 Constructing a visual world = 142
 Thumbnail sketch of the mammalian visual system = 148
 Representing in the brain : What can we lean from the visual system? = 157
 What is so special about distribution? = 163
 World enough and time = 174
 Shape from shading : A neurocomputational study = 183
 Stereo vision = 188
 Computational models of stereo vision = 199
 Hyperacuity : From mystery to mechanism = 221
 Vector averaging = 233
 Concluding remarks = 237
5 Plasticity : Cells, Circuits, Brains, and Behavior = 239
 Introduction = 239
 Learning and the hippocampus = 243
 Donald Hebb and synaptic plasticity = 250
 Memories are made of this : Mechanisms of neuronal plasticity = 254
 Cells and circuits = 281
 Decreasing synaptic strength = 289
 Back to systems and behavior = 295
 Being and timing = 305
 Development of nervous systems = 307
 Modules and networks = 316
6 Sensorimotor Integration = 331
 Introduction = 331
 LeechNet = 341
 Computation and the vestibulo-ocular reflex = 353
 Time and time again = 379
 The segmental swimming oscillator = 388
 Modeling the neuron = 399
 Concluding remarks = 411
7 Concluding and Beyond = 413
 Afterword = 425
Appendix Anatomical and Physiological Techniques = 427
 Permanent lesions = 427
 Reversible lesions and microlesions = 430
 Imaging techniques = 432
 Gross electrical and magnetic recording = 437
 Single-unit recording = 440
 Anatomical tract tracing = 442
Notes = 445
Glossary = 457
References = 479
Index = 525


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