國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ author_sort:"purves, dale." ]

切換: 標籤 | MARC模式 | ISBD

Why brains don't compute

Purves, Dale.

Why brains don't compute

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Why brains don't computeby Dale Purves.
作者:	Purves, Dale.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xv, 168 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational neuroscience.
電子資源:	https://doi.org/10.1007/978-3-030-71064-4
ISBN:	9783030710644$q(electronic bk.)

Why brains don't compute
Purves, Dale.

Why brains don't compute[electronic resource] /by Dale Purves. - Cham :Springer International Publishing :2021. - xv, 168 p. :ill., digital ;24 cm.

Preface -- PART I. TWO REALITIES -- Chapter 1. Solving Problems -- Chapter 2. Objective and Subjective Reality -- PART II. Computation; Chapter 3. Algorithms -- Chapter 4. Coding for Computers -- PART III. ARTIFICIAL NEURAL NETWORKS -- Chapter 5. Neural Networks -- Chapter 6. The Resurrection of Neural Networks -- Chapter 7. Reinforcement Learning -- Part IV. perception; Chapter 8. What We Perceive -- Chapter 9. Lines and Intervals -- Chapter 10. Angles -- Chapter 11. Lightness and Darkness -- Chapter 12. Empirical Ranking -- Chapter 13. Color -- Chapter 14. Colorimetry -- Chapter 15. Motion Speed -- Chapter 16. Motion Direction -- Chapter 17. Size -- Chapter 18. Stereopsis -- PART V. Linking OBJECTIVE AND SUBJECTIVE -- Chapter 19. Stimuli and Behavior -- Chapter 20. Associations -- Chapter 21. Mechanisms -- Chapter 22. Reflexes -- PART VI. THEORIES -- Chapter 23. Feature Detection -- Chapter 24. Statistical Inference -- Chapter 25. Information Theory -- PART VII. SELF AWARENESS; Chapter 26. Awareness -- Chapter 27. Summing Up.

This book examines what seems to be the basic challenge in neuroscience today: understanding how experience generated by the human brain is related to the physical world we live in. The 25 short chapters present the argument and evidence that brains address this problem on a wholly trial and error basis. The goal is to encourage neuroscientists, computer scientists, philosophers, and other interested readers to consider this concept of neural function and its implications, not least of which is the conclusion that brains don't "compute."

ISBN: 9783030710644$q(electronic bk.)

Standard No.: 10.1007/978-3-030-71064-4doiSubjects--Topical Terms:

190429
Computational neuroscience.

LC Class. No.: QP357.5 / .P87 2021

Dewey Class. No.: 612.8

Why brains don't compute
LDR:02539nmm a2200325 a 4500 001 598254
003 DE-He213
005 20210507142044.0
006 m d
007 cr nn 008maaau
008 211025s2021 sz s 0 eng d
020 $a 9783030710644$q(electronic bk.)
020 $a 9783030710637$q(paper)
024 7 $a 10.1007/978-3-030-71064-4 $2 doi
035 $a 978-3-030-71064-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QP357.5 $b .P87 2021
072 7 $a JM $2 bicssc
072 7 $a PSY000000 $2 bisacsh
072 7 $a JM $2 thema
082 0 4 $a 612.8 $2 23
090 $a QP357.5 $b .P986 2021
100 1 $a Purves, Dale. $3 253186
245 1 0 $a Why brains don't compute $h [electronic resource] / $c by Dale Purves.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 168 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- PART I. TWO REALITIES -- Chapter 1. Solving Problems -- Chapter 2. Objective and Subjective Reality -- PART II. Computation; Chapter 3. Algorithms -- Chapter 4. Coding for Computers -- PART III. ARTIFICIAL NEURAL NETWORKS -- Chapter 5. Neural Networks -- Chapter 6. The Resurrection of Neural Networks -- Chapter 7. Reinforcement Learning -- Part IV. perception; Chapter 8. What We Perceive -- Chapter 9. Lines and Intervals -- Chapter 10. Angles -- Chapter 11. Lightness and Darkness -- Chapter 12. Empirical Ranking -- Chapter 13. Color -- Chapter 14. Colorimetry -- Chapter 15. Motion Speed -- Chapter 16. Motion Direction -- Chapter 17. Size -- Chapter 18. Stereopsis -- PART V. Linking OBJECTIVE AND SUBJECTIVE -- Chapter 19. Stimuli and Behavior -- Chapter 20. Associations -- Chapter 21. Mechanisms -- Chapter 22. Reflexes -- PART VI. THEORIES -- Chapter 23. Feature Detection -- Chapter 24. Statistical Inference -- Chapter 25. Information Theory -- PART VII. SELF AWARENESS; Chapter 26. Awareness -- Chapter 27. Summing Up.
520 $a This book examines what seems to be the basic challenge in neuroscience today: understanding how experience generated by the human brain is related to the physical world we live in. The 25 short chapters present the argument and evidence that brains address this problem on a wholly trial and error basis. The goal is to encourage neuroscientists, computer scientists, philosophers, and other interested readers to consider this concept of neural function and its implications, not least of which is the conclusion that brains don't "compute."
650 0 $a Computational neuroscience. $3 190429
650 0 $a Neurosciences. $3 211508
650 1 4 $a Psychology, general. $3 275067
650 2 4 $a Cognitive Psychology. $3 273717
650 2 4 $a Philosophy of Mind. $3 276634
650 2 4 $a Philosophy of Science. $3 277156
650 2 4 $a Artificial Intelligence. $3 212515
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-71064-4
950 $a Behavioral Science and Psychology (SpringerNature-41168)