The book presents a new, powerful model of neuronal networks, consisting of a three-dimensional neuronal culture in which 3D neuronal networks are coupled to micro-electrode-arrays (MEAs).
It discusses the main advantages of the three-dimensional system c.
Monica Murphy
Monica R. Miller
Monica Aldama
Mónica L. Chávez González
Monica McInerney
Monica McInerney
Monica Sweeney
Monica McInerney
Monica Brashears
Monica Bruenjes
Monica W. Tracey
Monica Leonelle
Monica Murphy
Monica Lunin
Monica J. Casper
Monica Sherwood
Monica Brown
Monica M. Medina
Monica Rodden
Fans of sadie and you will be riveted by this compulsively readable new thriller about a survivor of dating violence who uses her newfound awareness of everyday evil to hunt for a killer.
Monica Duggal
Monica Bennett-Ryan
Mónica Szurmuk
Monica Byrne
Monica Gomez-Hira
Monica Lo
Monica D. Fitzgerald
Monica Bray-Grant
Monica Roe
Monica Beckwith
Monica Acker
Monica Cole
Monica K Walker
Monica Seger
Monica Cole
Monica Lunin
Monica Brown
Monica Roe
Monica Anderson
Monica Murphy
Monica Sanders
Monica Murphy
Monica Acker
Monica Flores
Monica Ali
Monica Khemsurov
Monica Roe
Mónica Rodríguez Suárez
Monica J. Casper
Monica Brillhart
Monica Silvie
Monica Walker
Monica C. Petter
Mónica Guzmán
When you think you have the answers, you need to be asking a lot more questions-and embracing fearless curiosity.
Monica Zepeda
Monica Fawzy
Luis Serrano
It's time to dispel the myth that machine learning is difficult.
Stephen D. Meriney
Synaptic transmission is a comprehensive guide to the topic of neurotransmission that provides an in-depth discussion on many aspects of synapse structure and function--a fundamental part of the neuroscience discipline.
Sumathi S
Information in today's advancing world is rapidly expanding and becoming widely available.
Yunong Zhang
toward deep neural networks: wasd neuronet models, algorithms, and applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (wasd) algorithm.
David Julian
Yang Li
Adaptive sliding mode neural network control for nonlinear systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields.
Phan Cong-Vinh
Nature-inspired includes, roughly speaking, bio-inspired+physical-inspired+social-inspired+ and so on.
Yu Hen Hu
The use of neural networks is permeating every area of signal processing.
Manjubala Bisi
Artificial neural network (ann) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy.
Jian Cheng Lv
Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks.
Marat Akhmet
This book presents as its main subject new models in mathematical neuroscience.
Timothy Masters
Giorgio A. Ascoli
An examination of the stunning beauty of the brain's cellular form, with many color illustrations, and a provocative claim about the mind-brain relationship.
George A. Anastassiou
Adam C. Errington
Gaba is the principal inhibitory neurotransmitter in the cns and acts via gabaa and gabab receptors.
Shih-Chii Liu
Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors.
Vladimir Golovko
Daniel S. Levine
This book is the third in a series based on conferences sponsored by the metroplex institute for neural dynamics, an interdisciplinary organization of neural network professionals in academia and industry.
Saeid Sanei
Saeid Sanei
Akira Hirose
Maurizio Cirrincione
Christian Holscher
Models and concepts of brain function have always been guided and limited by the available techniques and data.
John A. Flores
Theodore Melnechuk
Jianhong Wu
In the design of a neural network, either for biological modeling, cognitive simulation, numerical computation or engineering applications, it is important to investigate the network's computational performance which is usually described by the long-term .
Mohamad H. Hassoun
This text provides a systematic account of artificial neural network paradigms by identifying the fundamental concepts and major methodologies underlying most of the current theory and practice employed by neural network researchers..
Simon Haykin
Romania) International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (11th 2009 Timișoara
Gregory R. Bock
Neural tube defects are the second most common cause of perinatal death from birth defects in the united kingdom.
Alan A. Stocker
Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes.
Marcello Canonaco
CIBA Foundation Symposium
China) International Conference on Neural Networks & Signal Processing (2008 Zhenjiang
Huajin Tang
fluid and authoritative, this well-organized book represents the first comprehensive treatment of neural networks and learning machines from an engineering perspective, providing extensive, state-of-the-art coverage that will expose readers to the.
Licheng Jiao
This is volume ii of the proceedings of the second international conference on natural computation, icnc 2006.
F. Acar Savaci
The turkish artificial intelligence and neural network symposium (tainn) is an annual meeting where scientists present their new ideas and algorithms on artificial intelligence and neural networks with either oral or poster presentation.
Theodore Berger
The latest advances in research on intracranial implantation of hardware models of neural circuitry.
Carsten Peterson
Mezhdunarodnai︠a︡ konferent︠s︡ii︠a︡ "Kontinualʹnye algebraicheskie logiki, ischeslenii︠a︡ i neĭromatematika v nauke, tekhnike i ėkonomike" (2003 Ulʹi︠a︡novsk, Russia)
Robert B. Northrop
G. David Garson
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists.
Workshop on Self-Organizing Maps (1997 Espoo, Finland)
Daniel S. Levine
This book is the third in a series based on conferences sponsored by the metroplex institute for neural dynamics, an interdisciplinary organization of neural network professionals in academia and industry.
Omid Omidvar
This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks.
Jeffery J. Leader
Brunton, T. Lauder Sir