Encyclopedia of Computational Neuroscience

Encyclopedia of Computational Neuroscience

Language: English

Pages: 3180

ISBN: 1461466741

Format: PDF / Kindle (mobi) / ePub


The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. “Computational Neuroscience” emerged to complement experimental neurophysiology.

The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.

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Stronger After Stroke: Your Roadmap to Recovery

Head Cases: Stories of Brain Injury and Its Aftermath

Moonwalking with Einstein: The Art and Science of Remembering Everything

Wisdom of the Psyche: Depth Psychology after Neuroscience

 

 

 

 

 

 

 

 

 

 

LSU Health Sciences Center, New Orleans, LA, USA Robert Cannon Textensor Limited, Edinburgh, UK Matteo Cantarelli Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK Jessica A. Cardin Department of Neurobiology and Kavli Institute, Yale University, New Haven, CT, USA Jose M. Carmena Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA, USA Ted Carnevale Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA Thomas L.

Migliore2,3 1 Neuroscience Center, LSUHSC, New Orleans, LA, USA 2 Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA 3 Institute of Biophysics, National Research Council, Palermo, Italy Determinants of Action Potential Backpropagation The main factors that determine the extent of action potential backpropagation are (a) density and properties of dendritic voltage-dependent channels, (b) neuronal morphology, and (c) neuronal activity (firing history and incoming

as adenylyl cyclase, calcineurin, phosphodiesterase type 1B, and calciumcalmodulin-dependent protein kinase II. In addition to calcium influx through plasma membrane channels, both the mitochondria and the smooth endoplasmic reticulum (SER) are sources of calcium. Two types of calcium permeable channels reside on the SER: the inositol trisphosphate receptor channel and the ryanodine receptor channel. Calcium-dependent calcium release through these channels can lead to oscillations or waves of

the [hippocampus] as well, the focus is on the phylogenetically younger six-layered neocortex. Why is it so interesting and important to investigate the cortex using modeling? If the co-occurrence of the expansion of the neocortex during evolution of the emergence of human cognition and culture is more than a suspicious coincident, then understanding the cortex is essential to understand the human condition. Identifying brain and mind is certainly a too naı¨ve approach, but it is now widely

eight chapter encyclopedia, the Mahabhaskariya. With this inspiration, Project Bhaskara has now culminated in a twenty-first-century collaborative effort bringing together diversity of knowledge in the pursuit and synthesis of computational neuroscience. In 2010, Ann Avouris, Senior Editor, Neuroscience at Springer Inc., approached Ranu Jung, then President of the Organization for Computational Neuroscience, to consider editing a major reference work. She and Dieter Jaeger, then Vice-President of

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