Dimensionality reduction, Feature extraction and manifold in machine learning
Dimensionality reduction, Feature extraction and manifold in machine learning

Author: Dr. Neha Sharma

Publisher: Xoffencerpublication

Published: 2023-04-24

Total Pages: 221

ISBN-13: 9394707735

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An illustration of a common type of brain-computer interface system (photo courtesy of Gerwin Schalk, Wadsworth Centre, New York) The term "Brain Computer Interfaces," sometimes referred to as BCIs for short, describes a family of technologies that make it possible for people and computers to interact with one another in a direct manner. The word "Brain Computer Interfaces" is shortened as "BCIs" for the shorter version. Brain-computer interfaces, often known as BCIs, offer an alternate means of communication and control to more traditional Human Computer Interfaces (HCIs). These BCIs do not require the user to move their muscles in order to interact with the computer. As a consequence of this, they are particularly useful in applications such as supporting people who have impairments, recovering human cognitive or sensorymotor processes, and improving performance in areas that are pertinent to the tasks at hand. A typical BCI system is comprised of a module for acquiring brain activity, another module for signal preprocessing and feature extraction, a module for classifying mental states or making estimates, and a module for controlling output.. These four modules are referred to together as the BCI stack. Once it was shown that brain impulses might be used to create a mental prosbook, non-invasive brain-computer interfaces, often known as BCIs, have attracted an increasing amount of interest. Brainmachine interfaces (BMIs) are another name for brain-computer interfaces (BCIs). A significant amount of research has been conducted in a wide variety of domains and fields of study. A non-invasive brain-computer interface (BCI) that makes use of electroencephalography (EEG) signals recorded from the scalp may provide people with control over numerous parameters of movement, as Wolpaw and McFarland have demonstrated. It has been demonstrated by that it is possible, with the use of the visual P300 Event Related Potential (ERP), to choose letters that are shown on the screen of a computer.

Recent insights into perceptual and motor skill learning (The computational and neural processes underlying perceptual and motor skill learning)
Recent insights into perceptual and motor skill learning (The computational and neural processes underlying perceptual and motor skill learning)

Author: Lior Shmuelof

Publisher: Frontiers Media SA

Published: 2015-03-18

Total Pages: 133

ISBN-13: 2889194469

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Improvements in task performance following practice can occur as a result of changes in distinct cognitive and neural processes. In some cases, we can improve our performance by selecting a more successful behavior that is already part of our available repertoire. Skill learning, on the other hand, refers to a slower process that results in improving the ability to perform a behavior, i.e., it involves the acquisition of a behavior that was not available to the controller before training. Skill learning can take place both in the sensory and in the motor domains. Sensory skill acquisition in perceptual learning tasks is measured by improvements in sensory acuity through practice-induced changes in the sensitivity of relevant neural networks. Motor skill is harder to define as the term is used whenever a motor learning behavior improves along some dimension. Nevertheless, we have recently argued that as in perceptual learning, acuity is an integral component in motor skill learning. In this special topic we set out to integrate experimental and theoretical work on perceptual and motor skill learning and to stimulate a discussion regarding the similarities and differences between these two kinds of learning.

Machine Learning: Theory and Applications
Machine Learning: Theory and Applications

Author:

Publisher: Newnes

Published: 2013-05-16

Total Pages: 551

ISBN-13: 0444538666

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Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques

Artificial Neural Networks and Machine Learning -- ICANN 2014
Artificial Neural Networks and Machine Learning -- ICANN 2014

Author: Stefan Wermter

Publisher: Springer

Published: 2014-08-18

Total Pages: 874

ISBN-13: 3319111795

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The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.

Artificial Intelligence Applications and Innovations
Artificial Intelligence Applications and Innovations

Author: Ilias Maglogiannis

Publisher: Springer Nature

Published: 2023-05-31

Total Pages: 599

ISBN-13: 3031341074

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This two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.

Haptics: Neuroscience, Devices, Modeling, and Applications
Haptics: Neuroscience, Devices, Modeling, and Applications

Author: Malika Auvray

Publisher: Springer

Published: 2014-10-09

Total Pages: 585

ISBN-13: 3662441934

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The two-volume set LNCS 8618 and 8619 constitutes the refereed proceedings of the 9th International Conference EuroHaptics 2014, held in Versailles, France, in June 2014. The 118 papers (36 oral presentations and 82 poster presentations) presented were carefully reviewed and selected from 183 submissions. Furthermore, 27 demos were exhibited, each of them resulting in a short paper included in the volumes. These proceedings reflect the multidisciplinary nature of EuroHaptics and cover topics such as human-computer interaction, human-robot interactions, neuroscience, perception and psychophysics, biomechanics and motor control, modelling and simulation; and a broad range of applications in medicine, rehabilitation, art, and design.

Mapping Human Sensory-Motor Skills for Manipulation onto the Design and Control of Robots
Mapping Human Sensory-Motor Skills for Manipulation onto the Design and Control of Robots

Author: Matteo Bianchi

Publisher: Frontiers Media SA

Published: 2019-03-25

Total Pages: 134

ISBN-13: 2889457958

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Humans are endowed with extraordinary sensory-motor capabilities that enable a successful interaction with and exploration of the environment, as is the case of human manipulation. Understanding and modeling these capabilities represents an important topic not only for neuroscience but also for robotics in a mutual inspiration, both to inform the design and control of artificial systems and, at the same time, to increase knowledge on the biological side. Within this context, synergies -- i.e., goal-directed actions that constrain multi DOFs of the human body and can be defined at the kinematic, muscular, neural level -- have gained increasing attention as a general simplified approach to shape the development of simple and effective artificial devices. The execution of such purposeful sensory-motor primitives on the biological side leverages on the interplay of the sensory-motor control at central and peripheral level, and the interaction of the human body with the external world. This interaction is particularly important considering the new concept of robotic soft manipulation, i.e. soft, adaptable yet robust robotic hands that can deform with the external environment to multiply their grasping and manipulation capabilities. Under this regard, a preeminent role is reserved to touch, being that skin isour primary organ to shape our knowledge of the external world and, hence, to modify it, in interaction with the efferent parts. This Research Topic reports results on the mutual inspiration between neuroscience and robotics, and on how it is possible to translate neuroscientific findings on human manipulation into engineering guidelines for simplified systems able to take full advantage from the interaction and hence exploitation of environmental constraints for task accomplishment and knowledge acquisition.

Advances in Visual Computing
Advances in Visual Computing

Author: George Bebis

Publisher: Springer

Published: 2018-11-09

Total Pages: 771

ISBN-13: 3030038017

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This book constitutes the refereed proceedings of the 13th International Symposium on Visual Computing, ISVC 2018, held in Las Vegas, NV, USA in November 2018. The total of 66 papers presented in this volume was carefully reviewed and selected from 91 submissions. The papers are organized in topical sections named: ST: computational bioimaging; computer graphics; visual surveillance; pattern recognition; vitrual reality; deep learning; motion and tracking; visualization; object detection and recognition; applications; segmentation; and ST: intelligent transportation systems.

Somatosensory Feedback for Neuroprosthetics
Somatosensory Feedback for Neuroprosthetics

Author: Burak Guclu

Publisher: Academic Press

Published: 2021-07-19

Total Pages: 718

ISBN-13: 0128230002

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Although somatosensory system works in tandem with the motor system in biology, the majority of the prosthetics research and commercial efforts had focused on accommodating movement deficits. With the development of neuroprostheses in the last 15 years, it has become evident that somatosensory input (mainly as touch and proprioception) is essential for motor control, manipulating objects, and embodiment, in addition to its primary role for sensory perception. Somatosensory Feedback for Neuroprosthetics covers all relevant aspects to facilitate learning and doing research and development in the field. To understand the properties of the body to create viable solutions, this book starts with chapters reviewing the basic anatomy, physiology, and psychophysics of the somatosensory system, sensorimotor control, and instrumentation. Some sections are dedicated to invasive (peripheral and central, mainly cortical) and noninvasive (vibrotactile, electrotactile, etc.) approaches. Final chapters cover future technologies such as novel sensors and electrodes, safety, and clinical testing, and help to make up future prospects for this field with an emphasis on development and end use. With contributions from renowned experts, the contents include their recent findings and technical details necessary to understand those findings. Provides a concise review of the somatosensory system and latest advances in the use of somatosensory feedback for neuroprosthetics Analyzes many approaches to somatosensory feedback Provides the most detailed work on somatosensory neuroprostheses, their development, and applications in real life work