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  3. Computational Neuroscience

Introducing Computation to Neuroscience: Selected Papers of George Gerstein

Posted By: IrGens
Date: 25 Nov 2022 08:37:55
Introducing Computation to Neuroscience: Selected Papers of George Gerstein

Introducing Computation to Neuroscience: Selected Papers of George Gerstein (Springer Series in Computational Neuroscience) edited by Ad Aertsen, Sonja Grün, Pedro E. Maldonado, Günther Palm
English | November 11, 2022 | ISBN: 303087446X | True EPUB | 561 pages | 253 MB
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Encyclopedia of Computational Neuroscience (Repost)

Posted By: AvaxGenius
Date: 16 Nov 2022 13:36:31
Encyclopedia of Computational Neuroscience (Repost)

Encyclopedia of Computational Neuroscience by Dieter Jaeger
English | PDF | 2015 | 3229 Pages | ISBN : 1461466741 | 107.91 MB

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.
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Deep Learning to See: Towards New Foundations of Computer Vision

Posted By: AvaxGenius
Date: 28 Apr 2022 22:35:16
Deep Learning to See: Towards New Foundations of Computer Vision

Deep Learning to See: Towards New Foundations of Computer Vision by Alessandro Betti
English | PDF,EPUB | 2022 | 116 Pages | ISBN : 3030909867 | 5.8 MB

The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm.
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Computational Neuroscience (Repost)

Posted By: AvaxGenius
Date: 24 Apr 2022 04:05:25
Computational Neuroscience (Repost)

Computational Neuroscience by Wanpracha Chaovalitwongse
English | PDF | 2010 | 370 Pages | ISBN : 038788629X | 8.4 MB

The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain.
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Proceedings of International Conference on Trends in Computational and Cognitive Engineering: TCCE 2019

Posted By: AvaxGenius
Date: 30 Sep 2020 09:22:57
Proceedings of International Conference on Trends in Computational and Cognitive Engineering: TCCE 2019

Proceedings of International Conference on Trends in Computational and Cognitive Engineering: TCCE 2019 by Phool Singh
English | PDF | 2021 | 367 Pages | ISBN : 9811554137 | 14.96 MB

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, theenvironment, engineering, commerce and industry. Gathering selected conference papers presented atthe International Conference on Trends in Computational and Cognitive Engineering (TCCE), it sharescutting-edge insights and ideas from mathematicians, engineers, scientists and researchers anddiscusses fresh perspectives on problem solving in a range of research areas.
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Encyclopedia of Computational Neuroscience

Posted By: AvaxGenius
Date: 15 Mar 2020 21:56:13
Encyclopedia of Computational Neuroscience

Encyclopedia of Computational Neuroscience by Dieter Jaeger
English | PDF | 2015 | 3229 Pages | ISBN : 1461466741 | 107.91 MB

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.
Details

The Fractal Geometry of the Brain (Repost)

Posted By: AvaxGenius
Date: 26 Feb 2020 19:58:04
The Fractal Geometry of the Brain (Repost)

The Fractal Geometry of the Brain by Antonio Di Ieva
English | PDF,EPUB | 2016 | 583 Pages | ISBN : 1493939939 | 35.4 MB

Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. Will bring an understanding of fractals to clinicians and researchers also if they do not have a mathematical background, and will serve as a good tool for teaching the translational applications of computational models to students and scholars of different disciplines. This comprehensive collection is organized in four parts: (1) Basics of fractal analysis; (2) Applications of fractals to the basic neurosciences; (3) Applications of fractals to the clinical neurosciences; (4) Analysis software, modeling and methodology.
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An Introductory Course in Computational Neuroscience

Posted By: IrGens
Date: 24 Nov 2019 20:40:18
An Introductory Course in Computational Neuroscience

An Introductory Course in Computational Neuroscience (Computational Neuroscience Series) by Paul D. Miller
English | October 2, 2018 | ASIN: B07HYB8Y5R, ISBN: 0262038250 | AZW3 | 408 pages | 13.2 MB
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