A comprehensive Introduction to the world of brain and behavior computational models
This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others).
Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimers disease, Parkinsons disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more.
Covers computational approximations to intellectual disability in down syndromeDiscusses computational models of pharmacological and immunological treatment in Alzheimer's diseaseExamines neural circuit models of serotonergic system (from microcircuits to cognition)Educates on information theory, memory, prediction, and timing in associative learning
Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level studentsas well as researchers involved in computational neuroscience modeling research.
Notes on Contributors ix
Introduction xxi
Part I Models of Brain Disorders 1
1 A Computational Model of Dyslexics Perceptual Difficulties as Impaired Inference of Sound Statistics 3Sagi Jaffe-Dax, Ofri Raviv, Yonatan Loewenstein, and Merav Ahissar
2 Computational Approximations to Intellectual Disability in Down Syndrome 15Ángel E. Tovar, Ahmed A. Moustafa, and Natalia Arias-Trejo
3 Computational Psychiatry 29Robb B. Rutledge and Rick A. Adams
4 Computational Models of Post-traumatic Stress Disorder (PTSD) 43Milen L. Radell, Catherine E. Myers, Jony Sheynin, and Ahmed A. Moustafa
5 Reward Processing in Depression 57
The Computational ApproachChong Chen and Taiki Takahashi
6 Neurocomputational Models of Schizophrenia 73Ahmed A. Moustafa, B³a¿ej Misiak, and Dorota Frydecka
7 Oscillatory Dynamics of Brain Microcircuits 85
Modeling Perspectives and Neurological Disease ConsiderationsFrances K. Skinner and Alexandra Pierri Chatzikalymniou
8 Computational Models of Pharmacological and Immunological Treatment in Alzheimers Disease 99Vassilis Cutsuridis and Ahmed A. Moustafa
9 Modeling Deep Brain Stimulation for Parkinsons Disease 109
Volume Conductor, Network, and Mean-Field ModelsMadeleine M. Lowery
10 The Development of Medications for Parkinsons Disease Using Computational Modeling 125Mubashir Hassan and Ahmed A. Moustafa
11 Multiscale Computer Modeling of Epilepsy 139M. Sanjay, Samuel A. Neymotin, Srinivasa B. Krothapalli, and William W. Lytton
Part II Neural Models of Behavioral Processes 151
12 Simple Models of Sensory Information Processing 153Danke Zhang, Malte J. Rasch, and Si Wu
13 Motion Detection 171An Artificial Recurrent Neural Network ApproachJeroen Joukes and Bart Krekelberg
14 Computation in the Olfactory System 185Christiane Linster
15 Computational Models of Olfaction in Fruit Flies 199Ankur Gupta, Faramarz Faghihi, and Ahmed A. Moustafa
16 Multisensory Integration 215
How the Brain Combines Information Across the SensesRyan L. Miller and Benjamin A. Rowland
17 Computational Models in Social Neuroscience 229Jin Hyun Cheong, Eshin Jolly, Sunhae Sul, and Luke J. Chang
18 Sleep is For the Brain 245
Contemporary Computational Approaches in the Study of Sleep and Memory and a Novel Temporal Scaffolding HypothesisItamar Lerner
19 Models of Neural Homeostasis 257Hazem Toutounji
Part III Models of Brain Regions and Neurotransmitters 271
20 Striatum 273
Structure, Dynamics, and FunctionJyotika Bahuguna and Arvind Kumar
21 Amygdala Models 285Vinay Guntu, Feng Feng, Adel Alturki, Ajay Nair, Pranit Samarth, and Satish S. Nair
22 Cerebellum and its Disorders 303
A Review of Perspectives from Computational NeuroscienceShyam Diwakar and Ahmed A. Moustafa
23 Models of Dynamical Synapses and Cortical Development 321Radwa Khalil, Marie Z. Moftah, Marc Landry, and Ahmed A. Moustafa
24 Computational Models of Memory Formation in
Healthy and Diseased Microcircuits of the Hippocampus 333Vassilis Cutsuridis
25 Episodic Memory and the Hippocampus 345Naoyuki Sato
26 How Do We Navigate Our Way to Places? 357
Developing a New Model to Study Place Field Formation in Hippocampus Including the Role of AstrocytesFariba Bahrami and Shiva Farashahi
27 Models of Neuromodulation 373Michael C. Avery and Jeffrey L. Krichmar
28 Neural Circuit Models of the Serotonergic System 389
From Microcircuits to CognitionPragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, KongFatt Wong-Lin, Da-Hui Wang, Jeremiah Y. Cohen, Kae Nakamura, and Ahmed A. Moustafa
Part IV Neural Modeling Approaches 401
29 A Behavioral Framework for Information Representation in the Brain 403Frédéric Alexandre
30 Probing Human Brain Function with Artificial Neural Networks 413Umut Güçlü and Marcel van Gerven
31 Large-scale Computational Models of Ongoing Brain Activity 425Tristan T. Nakagawa, Mohit H. Adhikari, and Gustavo Deco
32 Optimizing Electrical Stimulation for Closed-loop Control of Neural Ensembles 439
A Review of Algorithms and ApplicationsSeif Eldawlatly
33 Complex Probabilistic Inference 453
From Cognition to Neural ComputationSamuel J. Gershman and Jeffrey M. Beck
34 A Flexible and Efficient Hierarchical Bayesian Approach to the Exploration of Individual Differences in Cognitive-model-based Neuroscience 467Alexander Ly, Udo Boehm, Andrew Heathcote, Brandon M. Turner, Birte Forstmann, Maarten Marsman, and Dora Matzke
35 Information Theory, Memory, Prediction, and Timing in Associative Learning 481Jason T. Wilkes and C. R. Gallistel
36 The Utility of Phase Models in Studying Neural Synchronization 493Youngmin Park, Stewart A. Heitmann, and G. Bard Ermentrout
37 Phase Oscillator Network Models of Brain Dynamics 505Carlo R. Laing
38 The Neuronal Signal and Its Models 519Igor Palmieri, Luiz H. A. Monteiro, and Maria D. Miranda
39 History Dependent Neuronal Activity Modeled with Fractional Order Dynamics 531Seth H. Weinberg and Fidel Santamaria
Index 549
