2015 Neural

PBS - The Brain with David Eagleman (2015)  Video

Posted by Tutorial at June 16, 2017
PBS - The Brain with David Eagleman (2015)

PBS - The Brain with David Eagleman (2015)
HDTV | 1280 x 720 | .MP4/AVC @ 2278 Kbps | 6x~55mn | 4.74 GB
Audio: English AAC 144 Kbps, 2 channels | Subs: English
Genre: Documentary, Science

Neuroscientist David Eagleman explores the human brain in an epic series that reveals the ultimate story of us, why we feel and think the things we do. This ambitious project blends science with innovative visual effects and compelling personal stories, and addresses some big questions. By understanding the human brain, we can come close to understanding humanity.

Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems  eBooks & eLearning

Posted by interes at May 19, 2017
Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems

Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems by Keith L. Downing
English | 2015 | ISBN: 0262029138 | 504 pages | PDF | 8 MB

Neural Correlates of Quality Perception for Complex Speech Signal [Repost]  eBooks & eLearning

Posted by tanas.olesya at May 7, 2017
Neural Correlates of Quality Perception for Complex Speech Signal [Repost]

Neural Correlates of Quality Perception for Complex Speech Signals by Jan-Niklas Antons
English | 31 Mar. 2015 | ISBN: 3319155202 | 108 Pages | PDF | 4 MB

This book interconnects two essential disciplines to study the perception of speech: Neuroscience and Quality of Experience, which to date have rarely been used together for the purposes of research on speech quality perception.
Genevieve Strosser, Jurg Dahler, Muriel Cantoreggi, The Hilliard Ensemble - Heinz Holliger: Machaut-Transkriptionen (2015)

Heinz Holliger: Machaut-Transkriptionen (2015)
Geneviève Strosser, Jürg Dähler, Muriel Cantoreggi, The Hilliard Ensemble

EAC | FLAC | Image (Cue&Log) ~ 256 Mb | Mp3 (CBR320) ~ 153 Mb | Scans included
Classical, Chamber, Choral | Label: ECM | # ECM New Series 2224, 476 52171 | 01:05:30

Swiss composer Heinz Holliger s Machaut-Transkriptionen is comprised of a spacious cycle of pieces written over a ten year period beginning in 2001. An imaginative re-investigation of the work of the great 14th century French composer-poet Guillaume de Machaut, it is scored for four voices and three violas. Note-for-note transcriptions of Machaut give way to Holliger s increasingly creative refractions of the music. As Holliger notes, his in-depth study of Machaut opened up new vistas for his compositional activity and his admiration for the source material is mirrored in the outstanding performances of the violists and singers. The Machaut-Transkriptionen proves a perfect vehicle for the Hilliard Ensemble s skills as interpreters of both old and new music, and this recording, made in 2010 in Zürich, captures the vocal group at the height of its powers.
Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (repost)

Robert Kozma, Walter J. Freeman, "Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields"
2015 | 290 Pages | ISBN: 3319244043 | PDF | 8 MB

Advances in Neural Networks: Computational and Theoretical Issues [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Feb. 11, 2017
Advances in Neural Networks: Computational and Theoretical Issues [Repost]

Simone Bassis, Anna Esposito, Francesco Carlo Morabito - Advances in Neural Networks: Computational and Theoretical Issues
Published: 2015-06-06 | ISBN: 3319181637, 3319383345 | PDF | 402 pages | 29 MB

Advanced State Space Methods for Neural and Clinical Data  eBooks & eLearning

Posted by readerXXI at Nov. 21, 2016
Advanced State Space Methods for Neural and Clinical Data

Advanced State Space Methods for Neural and Clinical Data
by Zhe Chen
English | 2015 | ISBN: 1107079195 | 397 Pages | True PDF | 11.3 MB

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data.

Advances in Neural Networks  eBooks & eLearning

Posted by AlenMiler at July 15, 2016
Advances in Neural Networks

Advances in Neural Networks: Computational Intelligence for ICT (Smart Innovation, Systems and Technologies) by Simone Bassis
English | 27 Jun. 2016 | ISBN: 3319337467 | 556 Pages | PDF (True) | 14.77 MB

This carefully edited book is putting emphasis on computational and artificial intelligent methods for learning and their relative applications in robotics, embedded systems, and ICT interfaces for psychological and neurological diseases.

Principles of Neural Science (5th edition) (Repost)  eBooks & eLearning

Posted by enmoys at May 11, 2016
Principles of Neural Science (5th edition) (Repost)

Principles of Neural Science (5th edition) By Eric R. Kandel, James H. Schwartz, Thomas M. Jessell
2012 | 1760 Pages | ISBN: 0071390111 | PDF | 183 MB

Coursera - Machine Learning (2015)  eBooks & eLearning

Posted by house23 at Feb. 17, 2016
Coursera - Machine Learning (2015)

Coursera - Machine Learning (2015)
MP4 | AVC 32kbps | English | 960x540 | 15fps | 19h 53mins | AAC stereo 128kbps | 1.52 GB
Genre: Video Training

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.