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Biomedical Sciences - Neuroscience | Hippocampal Microcircuits - A Computational Modeler's Resource Book

Hippocampal Microcircuits

A Computational Modeler's Resource Book

Cutsuridis, V., Graham, B., Cobb, S., Vida, I. (Eds.)

2010, XI, 617 p.

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  • Microcircuits, excitatory, inhibitory, hippocampus

The hippocampus plays an indispensible role in the formation of new memories in the mammalian brain. It is the focus of intense research and our understanding of its physiology, anatomy, and molecular structure has rapidly expanded in recent years. Yet, still much needs to be done to decipher how hippocampal microcircuits are built and function. Here, we present an overview of our current knowledge and a snapshot of ongoing research into these microcircuits.

Rich in detail, Hippocampal Microcircuits: A Computational Modeler’s Resource Book provides focused and easily accessible reviews on various aspects of the theme. It is an unparalleled resource of information, including both data and techniques that will be an invaluable companion to all those wishing to develop computational models of hippocampal neurons and neuronal networks.

The book is divided into two main parts. In the first part, leading experimental neuroscientists discuss data on the electrophysiological, neuroanatomical, and molecular characteristics of hippocampal circuits. The various types of excitatory and inhibitory neurons are reviewed along with their connectivity and synaptic properties. Single cell and ensemble activity patterns are presented from in vitro models, as well as anesthetized and freely moving animals. In the second part, computational neuroscientists describe models of hippocampal microcircuits at various levels of complexity, from single neurons to large-scale networks. Additionally, a chapter is devoted to simulation environments currently used by computational neuroscientists in developing their models.

In addition to providing concise reviews and a wealth of data, the chapters also identify central questions and unexplored areas that will define future research in computational neuroscience.

About the Editors:

Dr. Vassilis Cutsuridis is a Research Fellow in the Department of Computing Science and Mathematics at the University of Stirling, Scotland, UK. Dr. Bruce P. Graham is a Reader in Computing Science in the Department of Computing Science and Mathematics at the University of Stirling. Dr. Stuart Cobb and Dr. Imre Vida are Senior Lecturers in the Neuroscience and Molecular Pharmacology Department at the University of Glasgow, Scotland, UK.

Content Level » Professional/practitioner

Keywords » Cortex - Radiologieinformationssystem - anatomy - behavior - computational neuroscience - declarative memories - hippocampus - microcircuits - neurons - physiology - synaptic properties

Related subjects » Neuroscience - Systems Biology and Bioinformatics

Table of contents 

Preface Part I 1. Introduction-Experimental background 2. Connectivity of the hippocampus 3. Cell morphologies 4. Physiological properties of hippocampal neurons 5. Glutamatergic neurotransmission in the hippocampus 6. Fast and slow GABAergic transmission in hippocampal circuits 7. Synaptic plasticity at hippocampal synapses 8. Neuromodulation of hippocampal cells and circuits 9. Neuronal Activity Patterns during Hippocampal Network Oscillations in Vitro 10. Neuronal Activity Patterns of Anaesthetized Animals 11. Spatial and behavioral correlates of hippocampal neuronal activity: A primer for computational analysis Part II 12. Introduction-Computational Analysis 13. The making of a detailed CA1 pyramidal neuron model 14. CA3 cells: Detailed and simplified pyramidal cell models 15. Entorhinal cortex cells 16. Single Neuron Models: Interneurons 17. Gamma and Theta Rhythms in Biophysical Models of Hippocampal Circuits 18. Associative memory models 19. Microcircuit model of the dentate gyrus in epilepsy 20. Multi-level models 21. Biophysics-based models of LTP/LTD 22. A phenomenological calcium-based model of STDP 23. Computer simulation environments

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