Download PDF by Michael A. Arbib: Computing the brain : a guide to neuroinformatics

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By Michael A. Arbib

ISBN-10: 0120597810

ISBN-13: 9780120597819

Computing the mind presents readers with an built-in view of present informatics study with regards to the sector of neuroscience. This e-book essentially defines the hot paintings being performed in neuroinformatics and gives details on assets to be had on the internet to researchers utilizing this new know-how. It includes chapters that are supposed to attract a multidisciplinary viewers with introductory chapters for the nonexpert reader. Neuroscientists will locate this publication a great advent to informatics applied sciences and using those applied sciences of their learn. computing device scientists might be drawn to exploring how those applied sciences may benefit the neuroscience group.

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1981). Database description with SDM: a semantic database model. ACM Trans. Database System 6(3), 351±386. , and McLeod, D. (1985). A federated architecture for information management. ACM Trans. OYce Inf. Syst. 3(3), 253±278. , and King, R. (1987). Semantic database modeling: survey, applications, and research issues. ACM Computing Surveys 19(3), 201±260. Informix, Inc. (1997a). 1. Informix Press, Upper Saddle River, NJ. Informix, Inc. (1997b). An introduction to Informix universal server extended features.

2 presents the NSL Neural Simulation Language which has been the vehicle for much of our modeling at the level of systems Computing the Brain: A Guide to Neuroinformatics 43 Copyright # 2001 by Academic Press, Inc. All rights of reproduction in any form reserved. 44 Pa r t 2 Modeling and Simulation experiments. 1, the study of a variety of connected ``compartments'' of membrane in dendrite, soma, and axon can help us understand the detailed properties of individual neurons, but much can still be learned about the large-scale properties of interconnected regions of the brain by modeling each region as a set of subpopulations (''arrays'') using the leaky integrator model for each neuron.

Database Syst. 2(3), 140±173. , Brown, P. and Moore, D. (1999). Object-Relational DBMSs: Tracking the Next Great Wave. Morgan Kaufmann, San Mateo, CA. 1 Modeling the Brain Michael A. Arbib University of Southern California Brain Project and Computer Science Department, University of Southern California, Los Angeles, California neuroscience. 4 presents the Synthetic PET method which provides the bridge from neural modeling of large-scale neural systems to the data of brain imaging. 2; the documentation of the models is on our Website), links to empirical data, and downloadable code for almost all the models described in this chapter.

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Computing the brain : a guide to neuroinformatics by Michael A. Arbib

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