Books by Subject

Computers

  • 2010
    Vikash Gilja.
    By restoring the ability to move and communicate with the world, brain machine interfaces (BMIs) offer the potential to improve quality of life for people suffering from spinal cord injury, stroke, or neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS). BMIs attempt to translate measured neural signals into the user's intentions and, subsequently, control a computer or actuator. Recently, compelling examples of intra-cortical BMIs have been demonstrated in tetraplegic patients. Although these studies provide a powerful proof-of-concept, clinical viability is impeded by limited performance and robustness over short (hours) and long (days) timescales. We address performance and robustness over short time periods by approaching BMIs as a systems level design problem. We identify key components of the system and design a novel BMI from a feedback control perspective. In this perspective, the brain is the controller of a new plant, defined by the BMI, and the actions of this BMI are witnessed by the user. This simple perspective leads to design advances that result in significant qualitative and quantitative performance improvements. Through online closed loop experiments, we show that this BMI is capable of producing continuous endpoint movements that approach native limb performance and can operate continuously for hours. We also demonstrate how this system can be operated across days by a bootstrap procedure with the potential to eliminate an explicit recalibration step. To examine the use of BMIs over longer timescales, we develop new electrophysiology tools that allow for continuous multi-day neural recording. Through application of this technology, we measure the signal acquisition stability (and instability) of the electrode array technology used in current BMI clinical trials. We also demonstrate how these systems can be used to study BMI decoding over longer time periods. In this demonstration, we present a simple methodology for switching BMI systems on and off at appropriate times. The algorithms and methods demonstrated can be run with existing low power application specific integrated circuits (ASICs), with a defined path towards the development of a fully implantable neural interface system. We believe that these advances are a step towards clinical viability and, with careful user interface design, neural prosthetic systems can be translated into real world solutions.
  • 2006 CRCnetBASE
    Anthony J. Rhem.
  • 2007 ProQuest Safari
    Sasha Pachev.
  • 2012 CRCnetBASE
    Yair Altman.
    "Preface The Matlab programming environment uses Java for numerous tasks, including networking, data-processing algorithms, and graphical user-interface (GUI). Matlab's internal Java classes can often be easily accessed and used by Matlab users. Matlab also enables easy access to external Java functionality, either third-party or user-created. Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of very esthetically pleasing applications. Unlike Matlab's interface with other programming languages, the internal Java classes and the Matlab-Java interface were never fully documented by The MathWorks (TMW), the company that manufactures the Matlab product. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times as many programmers as Matlab. Using this huge pool of knowledge and components can significantly improve Matlab applications. As a consultant, I often hear clients claim that Matlab is a fine programming platform for prototyping, but is not suitable for real-world modern-looking applications. This book aimed at correcting this misconception. It shows how using Java can significantly improve Matlab program appearance and functionality and that this can be done easily and even without any prior Java knowledge. In fact, many basic programming requirements cannot be achieved (or are difficult) in pure Matlab, but are very easy in Java. As a simple example, maximizing and minimizing windows is not possible in pure Matlab, but is a trivial one-liner using the underlying Java codeʹ:"--Provided by publisher.
  • 2005 ProQuest Safari
    James Rumbaugh, Ivar Jacobson, Grady Booch.
  • 2006 ProQuest Safari
    SU Catalog (SearchWorks) Click LINK above for Print location/circulation status.
    Arnold Robbins.
    Introduction -- Unix commands -- The Unix shell: an overview -- The Bash and Korn shells -- tcsh: an extended C shell -- Package management -- Pattern matching -- The Emacs editor -- The vi, ex, and vim editors -- The sed editor -- The awk programming language -- Source code management: an overview -- The revision control system -- The concurrent versions system -- The subversion version control system -- The GNU make utility -- The GDB debugger -- Writing manual pages.
  • 2008 CRCnetBASE
    Hugh Cartwright ; chapter 10, Evolvable developmental systems, contributed by Nawwaf Kharma.
  • 2006 ProQuest Safari
    Paul Lomax, Tim Patrick ... [et al.].
  • 2005 ProQuest Safari
    Wei-Meng Lee .
  • 2014 ScienceDirect
    by Bernhard Preim, Charl P. Botha.
    This book offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. It includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered, and treatment planning, guidance, and training.
  • 2006 ProQuest Safari
    Doug Addison.
  • 2006 SUNet ID login required to search for this title
    by Steve Oualline.
  • ProQuest Safari
    Robbie Allen and Preston Gralla.
  • 2005 ProQuest Safari
    Preston Gralla.
  • 2005 ProQuest Safari
    David A. Karp, Tim O'Reilly, and Troy Mott, additional material by Richard Cobbett.
  • 2012 CRCnetBASE
    Wolfgang Osterhage.
    1. Introduction -- 2. WLAN -- 3. PDAs -- 4. Mobile phones -- 5. Bluetooth -- 6. Infrared -- 7. Security policy.
  • 2013 CRCnetBASE
    C. Pozrikidis.
    "Preface XML stands for extensible markup language. In fact, XML is not a language, but a systematic way of encoding and formatting data and statements contained in an electronic file according to a chosen tagging system. A tag may represent a general entity, a physical, mathematical, or abstract object, an instruction, or a computer language construct. The data can describe cars and trucks in a dealer's lot, the chapters of a book, the input or output of a scientific experiment or calculation, the eigenvalues of a matrix, and anything else that can be described by numbers and words. Data presentation and description In the XML framework, information is described and presented in the same doc- ument, thus circumventing the need for legends and explanations. For example, we may order: <breakfast> toast and eggs <breakfast> Further cooking instructions can be included between the breakfast tag enclosed by the pointy brackets (<>) and its closure denoted by the slash (/). Data reuse XML data (input) can be read by a person or parsed and processed by a program (application) that produces a new set of data (output.) Although the input is the same, the output depends on the interpretation of the tags formatting the data. The inherent polymorphism allows us to materialize the same original data in different ways. For example: 1. An author may write a book inserting formatting tags between words, equations, and figures according to xml conventions and grammar. The text (data) file can be processed to produce books with different appear- ances. 2. A scientist may write a finite-element code that produces output tagged according to xml conventions"-- Provided by publisher.
  • 2006 ProQuest Safari
    Sal Mangano.

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