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Computational Psychiatry: New Perspectives on Mental Illness [Hardback]

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Edited by (University of Minnesota), Edited by (Columbia University)
  • Formāts: Hardback, 424 pages, height x width x depth: 229x152x21 mm, 19 color illus., 21 b&w illus.
  • Sērija : Strüngmann Forum Reports 20
  • Izdošanas datums: 09-Dec-2016
  • Izdevniecība: MIT Press
  • ISBN-10: 0262035421
  • ISBN-13: 9780262035422
Citas grāmatas par šo tēmu:
Computational Psychiatry: New Perspectives on Mental IllnessPalielināt
  • Formāts: Hardback, 424 pages, height x width x depth: 229x152x21 mm, 19 color illus., 21 b&w illus.
  • Sērija : Strüngmann Forum Reports 20
  • Izdošanas datums: 09-Dec-2016
  • Izdevniecība: MIT Press
  • ISBN-10: 0262035421
  • ISBN-13: 9780262035422
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780262035422.html
Keywords:
Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology.
The Ernst Strungmann Forum vii
List of Contributors
ix
Introduction
1 On the Cusp: Current Challenges and Promises in Psychiatry
3(9)
Joshua A. Gordon
A. David Redish
2 Breakdowns and Failure Modes: An Engineer's View
A. David Redish
Joshua A. Gordon
Open Issues in Psychiatry
12(65)
3 Complexity and Heterogeneity in Psychiatric Disorders: Opportunities for Computational Psychiatry
33(28)
Nelson Totah
Huda Akil
Quentin J. M. Huys
John H. Krystal
Angus W. MacDonald
Tiago V. Maia
Robert C. Malenka
Wolfgang M. Pauli
4 What Does Computational Psychiatry Need to Explain to Capture Mechanisms of Psychopathology? Facts, Almost Facts, and Hints
61(16)
Deanna M. Barch
Computation
5 Computational Approaches for Studying Mechanisms of Psychiatric Disorders
77(24)
Zeb Kurth-Nelson
John P. O'Doherty
Deanna M. Barch
Sophie Deneve
Daniel Durstewitz
Michael J. Frank
Joshua A. Gordon
Sanjay J. Mathew
Yael Niv
Kerry Ressler
Heike Tost
6 Computational Cognitive Neuroscience Approaches to Deconstructing Mental Function and Dysfunction
101(20)
Michael J. Frank
7 How Could We Get Nosology from Computation?
121(18)
Christoph Mathys
Nosology
8 Current State of Psychiatric Nosology
139(14)
Michael B. First
9 The Computation of Collapse: Can Reliability Engineering Shed Light on Mental Illness?
153(16)
Angus W. MacDonald
Jennifer L. Zick
Theoden I. Netoff
Matthew V. Chafee
10 A Novel Framework for Improving Psychiatric Diagnostic Nosology
169(32)
Shelly B. Flagel
Daniel S. Pine
Susanne E. Ahmari
Michael B. First
Karl J. Friston
Christoph Mathys
A. David Redish
Katharina Schmack
Jordan W. Smaller
Anita Thapar
11 Computational Nosology and Precision Psychiatry: A Proof of Concept
201(22)
Karl J. Friston
12 Candidate Examples for a Computational Approach to Address Practical Problems in Psychiatry
223(24)
Rosalyn Moran
Klaas Enno Stephan
Matthew Botvinick
Michael Breakspear
Cameron S. Carter
Peter W. Kalivas
P. Read Montague
Martin P. Paulus
Frederike Petzschner
13 There Are No Killer Apps but Connecting Neural Activity to Behavior through Computation Is Still a Good Idea
247(12)
P. Read Montague
14 Call for Pragmatic Computational Psychiatry: Integrating Computational Approaches and Risk-Prediction Models and Disposing of Causality
259(16)
Martin P. Paulus
Crane Huang
Katia M. Harle
15 A Valuation Framework for Emotions Applied to Depression and Recurrence
275(18)
Quentin J. M. Huys
16 Clinical Heterogeneity Arising from Categorical and Dimensional Features of the Neurobiology of Psychiatric Diagnoses: Insights from Neuroimaging and Computational Neuroscience
293(26)
John H. Krystal
Alan Anticevic
John D. Murray
David Glahn
Naomi Driesen
Genevieve Yang
Xiao-Jing Wang
17 From Psychiatry to Computation and Back Again
319(12)
A. David Redish
Joshua A. Gordon
Bibliography 331(70)
Subject Index 401