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 Alzheimer s disease, Parkinson s 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 syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer?s disease Examines 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 students as well as researchers involved in computational neuroscience modeling research. INDICE: 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 Alzheimer s Disease 99Vassilis Cutsuridis and Ahmed A. Moustafa .9 Modeling Deep Brain Stimulation for Parkinson s Disease 109 .Volume Conductor, Network, and Mean–Field ModelsMadeleine M. Lowery .10 The Development of Medications for Parkinson s 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
- ISBN: 978-1-119-15906-3
- Editorial: Wiley–Blackwell
- Encuadernacion: Cartoné
- Páginas: 584
- Fecha Publicación: 03/11/2017
- Nº Volúmenes: 1
- Idioma: Inglés