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Author: Lubica Benuskova Publisher: Springer Science & Business Media ISBN: 0387483551 Category : Technology & Engineering Languages : en Pages : 311
Book Description
This is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines.
Author: Lubica Benuskova Publisher: Springer Science & Business Media ISBN: 0387483551 Category : Technology & Engineering Languages : en Pages : 311
Book Description
This is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines.
Author: Sam Fazeli Publisher: Garland Science ISBN: 1000140989 Category : Science Languages : en Pages : 304
Book Description
This book provides an insight into the rapidly growing field of cortical plasticity. It brings together diverse experimental approaches to the study of activity-dependent changes in neuronal connections, as exemplified by long-term potentiation (LTP) and long-term depression (LTD).
Author: Jianfeng Feng Publisher: CRC Press ISBN: 1135440468 Category : Mathematics Languages : en Pages : 656
Book Description
How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.
Author: Michael S. Gazzaniga Publisher: MIT Press ISBN: 9780262071956 Category : Medical Languages : en Pages : 1468
Book Description
This second edition reflects the many advances that have taken place in this field, particularly in imaging and recording techniques. The majority of the chapters in this edition of "The Cognitive Neurosciences" are new, and those from the first edition have been rewritten and updated.
Author: Jon H. Kaas Publisher: CRC Press ISBN: 1482284138 Category : Science Languages : en Pages : 462
Book Description
The extremely labile nature of the nervous system has proved an intriguing area of research for over thirty years. From the earliest stages of neuronal growth during development, both the morphology and strength of neuronal connections within the central nervous system are shaped and modified by experience. While connections between neurons that ar
Author: Nikola K. Kasabov Publisher: Springer ISBN: 3662577151 Category : Technology & Engineering Languages : en Pages : 742
Book Description
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Author: Ron D. Frostig Publisher: CRC Press ISBN: 9781420076844 Category : Science Languages : en Pages : 0
Book Description
These are exciting times for the field of optical imaging of brain function. Rapid developments in theory and technology continue to considerably advance understanding of brain function. Reflecting changes in the field during the past five years, the second edition of In Vivo Optical Imaging of Brain Function describes state-of-the-art techniques and their applications for the growing field of functional imaging in the live brain using optical imaging techniques. New in the Second Edition: Voltage-sensitive dyes imaging in awake behaving animals Imaging based on genetically encoded probes Imaging of mitochondrial auto-fluorescence as a tool for cortical mapping Using pH-sensitive dyes for functional mapping Modulated imaging Calcium imaging of neuronal activity using 2-photon microscopy Fourier approach to optical imaging Fully updated chapters from the first edition Leading Authorities Explore the Latest Techniques Updated to reflect continuous development in this emerging research area, this new edition, as with the original, reaches across disciplines to review a variety of non-invasive optical techniques used to study activity in the living brain. Leading authorities from such diverse areas as biophysics, neuroscience, and cognitive science present a host of perspectives that range from a single neuron to large assemblies of millions of neurons, captured at various temporal and spatial resolutions. Introducing techniques that were not available just a few years ago, the authors describe the theory, setup, analytical methods, and examples that highlight the advantages of each particular method.
Author: Georg Dorffner Publisher: Springer Science & Business Media ISBN: 3540424865 Category : Computers Languages : en Pages : 1248
Book Description
This book constitutes the refereed proceedings of the International Conference on Artificial Neural Networks,ICANN 2001, held in Vienna, Austria in August 2001. The 171 revised papers presented together with three invited contributions were carefully reviewed and selected from around 300 submissions. The papers are organized in topical sections on data analysis and pattern recognition, theory, kernel methods, topographic mapping, independent component analysis, signal processing, time series processing, agent-based economic modeling, selforganization and dynamical systems, robotics and control, vision and image processing, computational neuroscience, and connectionist and cognitive science.
Author: Lubica Benuskova
Author: Lubica Benuskova
Author: Malgorzata Kossut
Author: Sam Fazeli
Author: Jianfeng Feng
Author: Wulfram Gerstner
Author: Michael S. Gazzaniga
Author: Jon H. Kaas
Author: Nikola K. Kasabov
Author: Ron D. Frostig
Author: Georg Dorffner