Computational Neurology and Psychiatry (Record no. 7150)

MARC details
000 -LEADER
fixed length control field 04305nam a22003377a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240305192455.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220613b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319499598
International Standard Book Number 3319499599
040 ## - CATALOGING SOURCE
Transcribing agency dlc
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Péter Érdi
9 (RLIN) 38913
245 ## - TITLE STATEMENT
Title Computational Neurology and Psychiatry
250 ## - EDITION STATEMENT
Edition statement illustrated
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Department of Physics Kalamazoo College Kalamazoo, MI USA
Name of publisher, distributor, etc. Springer, 2017 ISBN
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 448 pages
490 ## - SERIES STATEMENT
Volume/sequential designation Volume 6 of Springer Series in Bio-/Neuroinformatics
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Contents:<br/><br/>1 Introduction<br/><br/>Microcircuits Conduction Delay and Childhood Absence Epilepsy<br/><br/>3 Extracellular Potassium and Focal SeizuresInsight from In Silico Study<br/><br/>Data Processing in Epilepsy Research<br/><br/>Modeling of Normal and Pathological Rhythmicity and Synaptic Plasticity Related to Amyloidβ Aβ Effects<br/><br/>6 Dynamic Causal Modelling of Dynamic Dysfunction in NMDAReceptor Antibody Encephalitis<br/><br/>7 Oscillatory Neural Models of the Basal Ganglia for Action Selection in Healthy and Parkinsonian Cases<br/><br/>Mathematical Models of Neuromodulation and Implications for Neurology and Psychiatry<br/><br/>From Observations to Scenarios to Designs<br/><br/>A Holistic Approach to Computational Psychiatry<br/><br/>A Comparison of Mathematical Models of Mood in Bipolar Disorder<br/><br/>12 Computational Neuroscience of Timing Plasticity and Function in Cerebellum Microcircuits<br/><br/>A Computational Model of Neural Synchronization in Striatum<br/><br/>A Neural Mass Computational Framework to Study Synaptic Mechanisms Underlying Alpha and Theta Rhythms<br/><br/>15 The Role of Simulations in Neuropharmacology<br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc. 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.
Expansion of summary note Common terms and phrases: action activity adult agents analysis approach associated attachment basal ganglia behaviour brain cause cell changes channels child circuit clinical cognitive complex computational computational models concentration connections considered corresponding cortex delay depends depression described detailed disease disorders dopamine dynamics effects epilepsy equations estimated example excitatory experiences experimental explain extracellular figure firing frequency function given groups human important increase individual infant inhibition inhibitory initial input interactions internal learning mathematical measure mechanisms membrane methods mood nature neural neurons Neurosci normal object observed oscillations parameters pathway patients patterns period population possible potassium potential problem processes projection pyramidal receptor regions relationship release represent response rhythms role secure seizure selection shown signal simulation single space specific spike Strange striatum synaptic synchronization term theory understanding values variable
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
General subdivision Technology & Engineering / General
9 (RLIN) 38914
General subdivision Technology & Engineering / Engineering (General)
9 (RLIN) 38915
General subdivision Science / Life Sciences / Neuroscience
9 (RLIN) 27050
General subdivision Mathematics / Applied Medical / Neuroscience
9 (RLIN) 38916
General subdivision Computers / Computer Simulation
9 (RLIN) 38917
General subdivision Computers / Artificial Intelligence / General
9 (RLIN) 38918
General subdivision Computers › Artificial Intelligence › General
9 (RLIN) 38919
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 38920
710 ## - ADDED ENTRY--CORPORATE NAME
9 (RLIN) 38921
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme ddc
Koha item type E-BOOKS
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
            MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO   06/13/2022   006.3 EBS11623 06/13/2022 06/13/2022 E-BOOKS
Catholic University of  Health and Allied Sciences - CUHAS
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