Computational Models of Brain and Behavior

Inbunden, Engelska, 2017

2 389 kr

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A comprehensive Introduction to the world of brain and behavior computational modelsThis 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 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 students—as well as researchers involved in computational neuroscience modeling research.

Produktinformation

Utgivningsdatum2017-11-03
Mått185 x 257 x 28 mm
Vikt1 293 g
FormatInbunden
SpråkEngelska
Antal sidor584
FörlagJohn Wiley and Sons Ltd
ISBN9781119159063

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DR. AHMED A. MOUSTAFA, PhD is a Senior Lecturer in Cognitive and Behavioral Neuroscience at the MARCS Institute for Brain, Behavior, and Development, School of Social Sciences and Psychology, Western Sydney University. He has published more than 100 papers in high-ranking journals including Science, Proceedings of the National Academy of Science, Journal of Neuroscience, and Brain, Neuroscience and Biobehavioral Reviews.

Notes on Contributors ixIntroduction xxiPart I Models of Brain Disorders 11 A Computational Model of Dyslexics’ Perceptual Difficulties as Impaired Inference of Sound Statistics 3Sagi Jaffe-Dax, Ofri Raviv, Yonatan Loewenstein, and Merav Ahissar2 Computational Approximations to Intellectual Disability in Down Syndrome 15Ángel E. Tovar, Ahmed A. Moustafa, and Natalia Arias-Trejo3 Computational Psychiatry 29Robb B. Rutledge and Rick A. Adams4 Computational Models of Post-traumatic Stress Disorder (PTSD) 43Milen L. Radell, Catherine E. Myers, Jony Sheynin, and Ahmed A. Moustafa5 Reward Processing in Depression 57The Computational ApproachChong Chen and Taiki Takahashi6 Neurocomputational Models of Schizophrenia 73Ahmed A. Moustafa, B³a¿ej Misiak, and Dorota Frydecka7 Oscillatory Dynamics of Brain Microcircuits 85Modeling Perspectives and Neurological Disease ConsiderationsFrances K. Skinner and Alexandra Pierri Chatzikalymniou8 Computational Models of Pharmacological and Immunological Treatment in Alzheimer’s Disease 99Vassilis Cutsuridis and Ahmed A. Moustafa9 Modeling Deep Brain Stimulation for Parkinson’s Disease 109Volume Conductor, Network, and Mean-Field ModelsMadeleine M. Lowery10 The Development of Medications for Parkinson’s Disease Using Computational Modeling 125Mubashir Hassan and Ahmed A. Moustafa11 Multiscale Computer Modeling of Epilepsy 139M. Sanjay, Samuel A. Neymotin, Srinivasa B. Krothapalli, and William W. LyttonPart II Neural Models of Behavioral Processes 15112 Simple Models of Sensory Information Processing 153Danke Zhang, Malte J. Rasch, and Si Wu13 Motion Detection 171An Artificial Recurrent Neural Network ApproachJeroen Joukes and Bart Krekelberg14 Computation in the Olfactory System 185Christiane Linster15 Computational Models of Olfaction in Fruit Flies 199Ankur Gupta, Faramarz Faghihi, and Ahmed A. Moustafa16 Multisensory Integration 215How the Brain Combines Information Across the SensesRyan L. Miller and Benjamin A. Rowland17 Computational Models in Social Neuroscience 229Jin Hyun Cheong, Eshin Jolly, Sunhae Sul, and Luke J. Chang18 Sleep is For the Brain 245Contemporary Computational Approaches in the Study of Sleep and Memory and a Novel “Temporal Scaffolding” HypothesisItamar Lerner19 Models of Neural Homeostasis 257Hazem ToutounjiPart III Models of Brain Regions and Neurotransmitters 27120 Striatum 273Structure, Dynamics, and FunctionJyotika Bahuguna and Arvind Kumar21 Amygdala Models 285Vinay Guntu, Feng Feng, Adel Alturki, Ajay Nair, Pranit Samarth, and Satish S. Nair22 Cerebellum and its Disorders 303A Review of Perspectives from Computational NeuroscienceShyam Diwakar and Ahmed A. Moustafa23 Models of Dynamical Synapses and Cortical Development 321Radwa Khalil, Marie Z. Moftah, Marc Landry, and Ahmed A. Moustafa24 Computational Models of Memory Formation inHealthy and Diseased Microcircuits of the Hippocampus 333Vassilis Cutsuridis25 Episodic Memory and the Hippocampus 345Naoyuki Sato26 How Do We Navigate Our Way to Places? 357Developing a New Model to Study Place Field Formation in Hippocampus Including the Role of AstrocytesFariba Bahrami and Shiva Farashahi27 Models of Neuromodulation 373Michael C. Avery and Jeffrey L. Krichmar28 Neural Circuit Models of the Serotonergic System 389From Microcircuits to CognitionPragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, KongFatt Wong-Lin, Da-Hui Wang, Jeremiah Y. Cohen, Kae Nakamura, and Ahmed A. MoustafaPart IV Neural Modeling Approaches 40129 A Behavioral Framework for Information Representation in the Brain 403Frédéric Alexandre30 Probing Human Brain Function with Artificial Neural Networks 413Umut Güçlü and Marcel van Gerven31 Large-scale Computational Models of Ongoing Brain Activity 425Tristan T. Nakagawa, Mohit H. Adhikari, and Gustavo Deco32 Optimizing Electrical Stimulation for Closed-loop Control of Neural Ensembles 439A Review of Algorithms and ApplicationsSeif Eldawlatly33 Complex Probabilistic Inference 453From Cognition to Neural ComputationSamuel J. Gershman and Jeffrey M. Beck34 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 Matzke35 Information Theory, Memory, Prediction, and Timing in Associative Learning 481Jason T. Wilkes and C. R. Gallistel36 The Utility of Phase Models in Studying Neural Synchronization 493Youngmin Park, Stewart A. Heitmann, and G. Bard Ermentrout37 Phase Oscillator Network Models of Brain Dynamics 505Carlo R. Laing38 The Neuronal Signal and Its Models 519Igor Palmieri, Luiz H. A. Monteiro, and Maria D. Miranda39 History Dependent Neuronal Activity Modeled with Fractional Order Dynamics 531Seth H. Weinberg and Fidel SantamariaIndex 549