feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Book
    Book
    Amsterdam [u.a.] :Elsevier Academic Press,
    UID:
    almafu_BV019768341
    Format: XXI, 1118 S. : , zahlr. Ill., graph. Darst.
    Edition: 2. ed.
    ISBN: 0-12-238662-0 , 978-0-12-238662-6
    Series Statement: Academic Press series in biomedical engineering
    Language: English
    Subjects: Medicine
    RVK:
    Keywords: Biomedizinische Technik
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    UID:
    b3kat_BV013477421
    Format: XII, 180 S. , Ill.
    ISBN: 0780363418 , 0780363426 , 0780363434
    Language: English
    Keywords: Konferenzschrift
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Amsterdam [u.a.] : Elsevier, Acad. Press
    UID:
    b3kat_BV042202314
    Format: 1 Online-Ressource
    Edition: 3. ed.
    ISBN: 9780123749796
    Series Statement: Academic Press series in biomedical engineering
    Note: Nebentitel: Biomedical engineering
    Language: English
    Subjects: Medicine
    RVK:
    Keywords: Biomedizinische Technik
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    UID:
    b3kat_BV014166260
    Format: X, 107 S. , Ill., graph. Darst.
    ISBN: 0780367170
    Language: English
    Keywords: Biotechnologie ; Konferenzschrift
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool
    UID:
    gbv_877636818
    Format: Online-Ressource (xiii, 144 pages) , illustrations.
    Edition: Also available in print
    ISBN: 9781627055475
    Series Statement: Synthesis lectures on biomedical engineering # 53
    Content: There are five different types of eye movements: saccades, smooth pursuit, vestibular ocular eye movements, optokinetic eye movements, and vergence eye movements. The purpose of this book series is focused primarily on mathematical models of the horizontal saccadic eye movement system and the smooth pursuit system, rather than on how visual information is processed. A saccade is a fast eye movement used to acquire a target by placing the image of the target on the fovea. Smooth pursuit is a slow eye movement used to track a target as it moves by keeping the target on the fovea. The vestibular ocular movement is used to keep the eyes on a target during brief head movements. The optokinetic eye movement is a combination of saccadic and slow eye movements that keeps a full-field image stable on the retina during sustained head rotation. Each of these movements is a conjugate eye movement, that is, movements of both eyes together driven by a common neural source. A vergence movement is a non-conjugate eye movement allowing the eyes to track targets as they come closer or farther away. In Part 1, early models of saccades and smooth pursuit are presented. A number of oculomotor plant models are described therein beginning with the Westheimer model published in 1954, and up through our 1995 model involving a 4th-order oculomotor plant model. In Part 2, a 2009 version of a state-of-the-art model is presented for horizontal saccades that is 3rd-order and linear, and controlled by a physiologically based time-optimal neural network. In this book, a multiscale model of the saccade system is presented, focusing on the neural network. Chapter 1 summarizes a whole muscle model of the oculomotor plant based on the 2009 3rd-order and linear, and controlled by a physiologically based time-optimal neural network. Chapter 2 presents a neural network model of biophysical neurons in the midbrain for controlling oculomotor muscles during horizontal human saccades. To investigate horizontal saccade dynamics, a neural circuitry, including omnipause neuron, premotor excitatory and inhibitory burst neurons, long lead burst neuron, tonic neuron, interneuron, abducens nucleus, and oculomotor nucleus, is developed. A generic neuron model serves as the basis to match the characteristics of each type of neuron in the neural network. We wish to express our thanks to William Pruehsner for drawing many of the illustrations in this book.
    Content: 1. 2009 linear homeomorphic saccadic eye movement model -- 1.1 Introduction -- 1.2 Oculomotor plant -- 1.2.1 Derivation of the differential equation describing the oculomotor system -- 1.2.2 Neural input -- 1.2.3 Saccade response -- 1.3 Parameter estimation and system identification -- 1.3.1 System identification -- 1.3.2 Numerical gradient -- 1.3.3 Velocity and acceleration estimation -- 1.3.4 Inverse filter -- 1.4 Initial parameter estimation for humans -- 1.4.1 Estimation of the start time and duration of a saccade -- 1.4.2 Estimation of model parameters -- 1.4.3 Estimation of parameters for the agonist muscle -- 1.4.4 Estimation of parameters for antagonist muscle -- 1.4.5 Corrections -- 1.4.6 Implementation -- 1.5 Initial parameter estimation for monkeys -- 1.5.1 Static conditions -- 1.5.2 Force-velocity characteristics -- 1.5.3 Oculomotor plant parameters -- 1.6 Monkey data and results -- 1.7 Human data and results -- 1.8 Post-inhibitory rebound burst and post-saccade phenomena -- 1.9 Time-optimal controller --
    Content: 2. A neuron-based time-optimal controller of horizontal saccadic eye movements and glissades -- 2.1 Introduction -- 2.2 Neural network -- 2.2.1 Superior colliculus -- 2.2.2 Premotor neurons in the PPRF -- 2.2.3 Omnipause neuron -- 2.2.4 Tonic neuron -- 2.2.5 Interneuron -- 2.2.6 Abducens nucleus -- 2.2.7 Oculomotor nucleus -- 2.2.8 Cerebellum -- 2.3 Firing characteristics of each type of neuron -- 2.3.1 Neural activity -- 2.3.2 Burst discharge mechanism -- 2.3.3 Sequence of neural firing -- 2.4 Neural modeling -- 2.4.1 Dendrite model -- 2.4.2 Axon model -- 2.4.3 Synapse model -- 2.5 Neural stimulation of the linear homeomorphic model of muscle -- 2.6 Neural system implementation -- 2.6.1 Simulink programming -- 2.6.2 Control simulation results -- 2.7 Glissades as one of the deficiencies in the oculomotor control mechanism -- 2.8 Glissade dynamics -- 2.8.1 Analysis and characteristics -- 2.8.2 Neural controller with PIRB -- 2.8.3 Comparison of glissades to normal saccades --
    Content: References -- Authors' biographies
    Note: Part of: Synthesis digital library of engineering and computer science. - Includes bibliographical references (pages 135-141). - Compendex. INSPEC. Google scholar. Google book search. - Title from PDF title page (viewed on November 19, 2014) , Includes bibliographical references (pages 135-141) , Part of: Synthesis digital library of engineering and computer science , Also available in print. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: ISBN 9781627055468
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781627055468
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool
    UID:
    gbv_1656740532
    Format: Online-Ressource (xiii, 108 pages) , illustrations.
    ISBN: 9781627056595
    Series Statement: Synthesis lectures on biomedical engineering # 55
    Content: There are five different types of eye movements: saccades, smooth pursuit, vestibular ocular eye movements, optokinetic eye movements, and vergence eye movements. The purpose of this book series is focused primarily on mathematical models of the horizontal saccadic eye movement system and the smooth pursuit system, rather than on how visual information is processed. In Part 1, early models of saccades and smooth pursuit are presented. A number of oculomotor plant models are described here beginning with the Westheimer model published in 1954, and up through our 1995 model involving a 4th order oculomotor plant model. In Part 2, a 2009 version of a state-of-the-art model is presented for horizontal saccades that is 3rd -order and linear, and controlled by a physiologically based time-optimal neural network. Part 3 describes a model of the saccade system, focusing on the neural network. It presents a neural network model of biophysical neurons in the midbrain for controlling oculomotor muscles during horizontal human saccades. In this book, a multiscale model of the saccade system is presented, focusing on a multiscale neural network and muscle fiber model. Chapter 1 presents a comprehensive model for the control of horizontal saccades using a muscle fiber model for the lateral and medial rectus muscles. The importance of this model is that each muscle fiber has a separate neural input. This model is robust and accounts for the neural activity for both large and small saccades. The muscle fiber model consists of serial sequences of muscle fibers in parallel with other serial sequences of muscle fibers. Each muscle fiber is described by a parallel combination of a linear length tension element, viscous element, and active-state tension generator. Chapter 2 presents a biophysically realistic neural network model in the midbrain to drive a muscle fiber oculomotor plant during horizontal monkey saccades. Neural circuitry, including omnipause neuron, premotor excitatory and inhibitory burst neurons, long lead burst neuron, tonic neuron, interneuron, abducens nucleus, and oculomotor nucleus, is developed to examine saccade dynamics. The time-optimal control mechanism demonstrates how the neural commands are encoded in the downstream saccadic pathway by realization of agonist and antagonist controller models. Consequently, each agonist muscle fiber is stimulated by an agonist neuron, while an antagonist muscle fiber is unstimulated by a pause and step from the antagonist neuron. It is concluded that the neural network is constrained by a minimum duration of the agonist pulse, and that the most dominant factor in determining the saccade magnitude is the number of active neurons for the small saccades. For the large saccades, however, the duration of agonist burst firing significantly affects the control of saccades. The proposed saccadic circuitry establishes a complete model of saccade generation since it not only includes the neural circuits at both the premotor and motor stages of the saccade generator, but it also uses a time-optimal controller to yield the desired saccade magnitude.
    Note: Part of: Synthesis digital library of engineering and computer science. - Includes bibliographical references (pages 101-105). - Compendex. INSPEC. Google scholar. Google book search. - Title from PDF title page (viewed on November 19, 2014) , 1. A new linear muscle fiber model for neural control of saccades -- 1.1 Introduction -- 1.2 Muscle fiber model -- 1.2.1 Scalability and steady-state -- 1.2.2 Static and dynamic properties of the muscle fiber model of muscle -- 1.3 Oculomotor plant -- 1.4 Neural input -- 1.5 Results -- 1.6 Discussion -- 1.6.1 Maximal firing of the agonist neurons -- 1.6.2 Saccade and agonist pulse duration -- 1.6.3 Number of active neurons and time-optimal control -- 1.6.4 Synchrony of agonist neuron firing -- 1.6.5 Variability in agonist neuron firing -- 1.7 Conclusion -- , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: ISBN 9781627056588
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781627056588
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    UID:
    almahu_BV012660757
    Format: XVII, 1062 S. : Ill., graph. Darst.
    ISBN: 0-12-238660-4
    Series Statement: Academic Press series in biomedical engineering
    Language: English
    Subjects: Medicine
    RVK:
    Keywords: Biomedizinische Technik
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    UID:
    gbv_723614180
    Format: 1 Online-Ressource (114 Seiten)
    Edition: Also available in print
    ISBN: 1598291416 , 9781598291414
    Series Statement: Synthesis Lectures on Biomedical Engineering #10
    Content: This is the second in a series of three short books on probability theory and random processes for biomedical engineers. This volume focuses on expectation, standard deviation, moments, and the characteristic function. In addition, conditional expectation, conditional moments and the conditional characteristic function are also discussed. Jointly distributed random variables are described, along with joint expectation, joint moments, and the joint characteristic function. Convolution is also developed. A considerable effort has been made to develop the theory in a logical manner -- developing special mathematical skills as needed. The mathematical background required of the reader is basic knowledge of differential calculus. Every effort has been made to be consistent with commonly used notation and terminology both within the engineering community as well as the probability and statistics literature. The aim is to prepare students for the application of this theory to a wide variety of problems, as well give practicing engineers and researchers a tool to pursue these topics at a more advanced level. Pertinent biomedical engineering examples are used throughout the text
    Content: Expectation -- Moments -- Bounds on probabilities -- Characteristic function -- Conditional expectation -- Summary -- Problems -- Bivariate random variables -- Bivariate CDF -- Bivariate Riemann-Stieltjes integral -- Expectation -- Convolution -- Conditional probability -- Conditional expectation -- Summary -- Problems
    Note: Description based upon print version of record , Expectation -- Moments -- Bounds on probabilities -- Characteristic function -- Conditional expectation -- Summary -- Problems -- Bivariate random variables -- Bivariate CDF -- Bivariate Riemann-Stieltjes integral -- Expectation -- Convolution -- Conditional probability -- Conditional expectation -- Summary -- Problems. , Also available in print. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: ISBN 1598291408
    Additional Edition: ISBN 9781598291407
    Additional Edition: Erscheint auch als Druck-Ausgabe Intermediate Probability Theory for Biomedical Engineers
    Language: English
    Keywords: Electronic books
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages