Computational Neurology and Psychiatry

  • Péter Érdi
  • Basabdatta Sen Bhattacharya
  • Amy L. Cochran

Part of the Springer Series in Bio-/Neuroinformatics book series (SSBN, volume 6)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Basabdatta Sen Bhattacharya, Amy L. Cochran, Péter Érdi
    Pages 1-10
  3. John Milton, Jianhong Wu, Sue Ann Campbell, Jacques Bélair
    Pages 11-47
  4. Piotr Suffczynski, Damiano Gentiletti, Vadym Gnatkovsky, Marco de Curtis
    Pages 49-72
  5. Zsigmond Benkő, Dániel Fabó, Zoltán Somogyvári
    Pages 73-91
  6. Richard E. Rosch, Gerald Cooray, Karl J. Friston
    Pages 121-148
  7. Robert Merrison-Hort, Nada Yousif, Andrea Ferrario, Roman Borisyuk
    Pages 149-189
  8. Janet A. Best, H. Frederik Nijhout, Michael C. Reed
    Pages 191-225
  9. Dean Petters, Luc Beaudoin
    Pages 227-271
  10. Amy L. Cochran, André Schultz, Melvin G. McInnis, Daniel B. Forger
    Pages 315-341
  11. Shyam Diwakar, Chaitanya Medini, Manjusha Nair, Harilal Parasuram, Asha Vijayan, Bipin Nair
    Pages 343-371
  12. Rahmi Elibol, Neslihan Serap Şengör
    Pages 373-403
  13. Jean-Marie C. Bouteiller, Theodore W. Berger
    Pages 429-448

About this book


This book presents the latest research in computational methods for modeling and simulating brain disorders. In particular, it shows how mathematical models can be used to study the relationship between a given disorder and the specific brain structure associated with that disorder. It also describes the emerging field of computational psychiatry, including the study of pathological behavior due to impaired functional connectivity, pathophysiological activity, and/or aberrant decision-making. Further, it discusses the data analysis techniques that will be required to analyze the increasing amount of data being generated about the brain. Lastly, the book offers some tips on the application of computational models in the field of quantitative systems pharmacology. Mainly written for computational scientists eager to discover new application fields for their model, this book also benefits neurologists and psychiatrists  wanting to learn about new methods.


Neurocomputational Models Brain Decision-Making Models of Mood Modeling Neural Circuits Brain Connectivity Models of Synaptic Plasticity Neural Mass Model EEG Data Causality Analysis High-Frequency Oscillations Seizure Prediction Models Dynamic Causal Modeling (DCM) Bayesian Model Selection Spiking Models Volume Transmission Models of Attachment Cerebellar Networks Models of Action Selection

Editors and affiliations

  • Péter Érdi
    • 1
  • Basabdatta Sen Bhattacharya
    • 2
  • Amy L. Cochran
    • 3
  1. 1.Department of PhysicsKalamazoo CollegeKalamazooUSA
  2. 2.School of EngineeringUniversity of LincolnLincolnUnited Kingdom
  3. 3.Department of MathematicsUniversity of MichiganAnn ArborUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-49958-1
  • Online ISBN 978-3-319-49959-8
  • Series Print ISSN 2193-9349
  • Series Online ISSN 2193-9357
  • Buy this book on publisher's site