Futurehealth Winter Brain, Optimal Functioning and Positive Psychology and StoryCon Conferences




НазваниеFuturehealth Winter Brain, Optimal Functioning and Positive Psychology and StoryCon Conferences
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Test Questions:

1. List the 16 concurrent targets of CARE.

2. The Adaptive Gabor Transform is used to derive the information in each target. (T/F)

3. The same sequence of ZenX Modes can be used across the range of areas in which neurofeedback training is offered.


Bibliography:

Boashash, B [2003], Time Frequency Signal Analysis and Processing: A Comprehensive Reference, Elsevier: Amsterdam.


Kantz, H. & Schreiber, T [2004], Nonlinear Time Series Analysis 2nd Ed, Cambridge University Press: Cambridge, U.K.


Ladner, L. [2004], The Lost Art of Compassion: Discovering the Practice of Happiness in the Meeting of Buddhism and Psychology, HarperCollins Publishers, Inc.: NY


Qian, S [1996], Joint Time-Frequency Analysis: Methods and Applications, Prentice Hall PTR: Upper Saddle River, NY


Wallace, B. A., [2001], Buddhism With an Attitude: The Tibetan Seven-Point Mind-Training, Snow Lion Publications: Ithaca, NY.


Wallace, B. A & Wallace, V. [1997], A Guide to the Boddhisattva Way of Life: Bodhicaryavatara, Snow Lion Publications: Ithaca, NY.


Wiggins, S. [1990], Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag: New York.


Detailed Agenda:

1. Overview of the CARE Approach to neurofeedback training

2. Aras of application

a. Sleep Disturbance

b. Chronic Pain

c. Attentional Concerns

d. Energetic Healing

e. Spiritual Transformation

f. Depression and related presentations

3. Summary and Integration


Presentation #92


Foundation Course: 

ZenX Modes and Self-Referencing, Self-Correcting Neurofeedback: The Complex Becomes Truly Simple to Use


Abstract:

ZenX Modes are a new feature in NeuroCARE Pro v1.95. They allow for a very simple user interface to the complex targeting process underlying the CARE approach to neurofeedback.


Duration:

55 minutes


Learning Objectives:

1. List the ZenX Modes and the connection to standard cross aerobic training models.


2. Explain the manner in which the time-frequency signatures of each target was derived.


3. Describe how a typical neurofeedback training session is done using this approach.


Test Questions:

1. Zengar 3 is most like which of the following in a standard cross aerobic training program:

a. cool down

b. warm up

c. stretch

d. exercise


2. Mixture ICA techniques were used to construct the multimedia used in providing neurofeedback using this approach. (T/F)


3. The same sequence of training and same target configurations are used for all clients. (T/F)


Bibliography:

Boashash, B [2003], Time Frequency Signal Analysis and Processing: A Comprehensive Reference, Elsevier: Amsterdam.


Kantz, H. & Schreiber, T [2004], Nonlinear Time Series Analysis 2nd Ed, Cambridge University Press: Cambridge, U.K.


Ladner, L. [2004], The Lost Art of Compassion: Discovering the Practice of Happiness in the Meeting of Buddhism and Psychology, HarperCollins Publishers, Inc.: NY.

Qian, S [1996], Joint Time-Frequency Analysis: Methods and Applications, Prentice Hall PTR: Upper Saddle River, NY


Wallace, B. A., [2001], Buddhism With an Attitude: The Tibetan Seven-Point Mind-Training, Snow Lion Publications: Ithaca, NY.


Wallace, B. A & Wallace, V. [1997], A Guide to the Boddhisattva Way of Life: Bodhicaryavatara, Snow Lion Publications: Ithaca, NY.


Wiggins, S. [1990], Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag: New York.


Detailed Agenda:

1. Comprehensive, Adaptive Renormalization of EEG

2. Dynamical Targeting Procedures in general

3. ZenX Modes

a. Zengar 1 characteristics

b. Zengar 2 characteristics

3. Zengar 3 characteristics

b. Zengar 4 characteristics

4. Self Adjusting, Self Correcting Feedback


Presentation #94


Post-Conference: 

Beginner’s Guide To NeuroCARE Pro: How To Get Up and Running Today!


Abstract:

This one day introduction will get you up and running in NeuroCARE Pro v1.95. Here is where you can learn what you need to know to use this comprehensive, yet easy to use, neurofeedback training system.


Duration:


Learning Objectives:

1. Explain how to sequence through the ZenX Modes.

2. Explain the rationale for two channel training using C3 and C4 as the active sensor sites.

3. Explain the role of 16 time-frequency based targets in providing neurofeedback using NCP.

4. Explain the Cross Correlation of the AutoCorrelation of the Joint Time-Frequency Analysis.

5. Explaing how C*r is calculated and what it means for understanding how well neurofeedback is proceeding.

6. Explain the meaning and relevance of CCAC Divergence.

7. Explain the relationship between using ZenX Modes and the metaphor of "cross aerobic" training.

8. Expaling why the interruption and/or modification of ongoing multimedia events is the feedback in the defauls ways of using NCP.


Test Questions:

1. List the time-frequency signatures of the default NCP targeting set.

2. In general, one should always sequence through the ZenX Modes. (T/F)

3. AC stands for the Cross Correlation of the AutoCorrelation of the Joint Time-Frequency Analysis. (T/F)

4. C*r should decrease with ongoing, effective training. (T/F)

5. CCAC Divergence will increase with ongoing, effective training (T/F)

6. Using ZenX Modes one should be adjusting the Multiplier instead of adjusting the size of individual targets. (T/F)

7. The interruption and/or modification of ongoing multimedia events is the feedback in the default ways of using NCP. (T/F)


Bibliography:

Boashash, B [2003], Time Frequency Signal Analysis and Processing: A Comprehensive Reference, Elsevier: Amsterdam.


Kantz, H. & Schreiber, T [2004], Nonlinear Time Series Analysis 2nd Ed, Cambridge University Press: Cambridge, U.K.


Ladner, L. [2004], The Lost Art of Compassion: Discovering the Practice of Happiness in the Meeting of Buddhism and Psychology, HarperCollins Publishers, Inc.: NY


Qian, S [1996], Joint Time-Frequency Analysis: Methods and Applications, Prentice Hall PTR: Upper Saddle River, NY


Wallace, B. A., [2001], Buddhism With an Attitude: The Tibetan Seven-Point Mind-Training, Snow Lion Publications: Ithaca, NY.


Wallace, B. A & Wallace, V. [1997], A Guide to the Boddhisattva Way of Life: Bodhicaryavatara, Snow Lion Publications: Ithaca, NY.


Wiggins, S. [1990], Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag: New York.


Detailed Agenda:

1. An Overview of the Controls and Features of NeuroCARE Pro

2. Introduction to the role of Joint Time-Frequency Analysis (JTFA) and Non-Linear, Dynamical (NLD) control processes to NCP.

3. Using ZenX Modes: The Complex becomes Simple and Easy to Use

4. Offline Analysis: Quick Stats, Trend Report, JTFA, CCAC, Divergence Measures

5. Trend Report of Divergence Measures

6. Putting it All Together: Walking the Talk


Presentation #196


Workshop: 

Using Non-Linear, Dynamical Measures of Change: Keeping Neurofeedback Training Safe and On Target


Abstract:

NLD tools can provide effective, easy to use tools to understand how well neurofeedback training is progressing, regardless of how it is done. Two such tools are presented and explored with data.


Duration:

120 minutes


Learning Objectives:

1. Learn the meaning of the Cross Correlation of the AutoCorrelation [CCAC] of Joint Time-Frequency Analyses [JTFA] of EEG.

2. Understand the difference between standard meansures of Correlation [r], Correlation Dimension [C(r)] and Optimized Correlation Dimension [C*r].

3. Learn the value of Divergence measures of EEG, CCAC and C*r.

4. Recognize effective training based on trends in CCAC Divergence and C*r Divergence.

5. Understand the rationale for the various ways that differencing of various NLD and JTFA measures can be used within neurofeedback.


Test Questions:

1. CCAC Divergence should decrease Pre to Post in successful neurofeedback. [T]

2. C*r should increase Pre to Post in successful neurofeedback. [T]

3. C*r reflects a structural invariant property of a non-linear, dynamical system. [F]

4. C*r can be quite variable during actual neurofeedback training. [T]

5. If CCAC Divergence increases Pre to Post this can indicate which form of follow up training can be done. [T]

6. C*r reflects the overall "complexity" of the system being measured. [T]


Bibliography:

Boashash, B [2003], Time Frequency Signal Analysis and Processing: A Comprehensive Reference, Elsevier: Amsterdam.


Kantz, H. & Schreiber, T [2004], Nonlinear Time Series Analysis 2nd Ed, Cambridge University Press: Cambridge, U.K.


Ladner, L. [2004], The Lost Art of Compassion: Discovering the Practice of Happiness in the Meeting of Buddhism and Psychology, HarperCollins Publishers, Inc.: NY.

Qian, S [1996], Joint Time-Frequency Analysis: Methods and Applications, Prentice Hall PTR: Upper Saddle River, NY


Wallace, B. A., [2001], Buddhism With an Attitude: The Tibetan Seven-Point Mind-Training, Snow Lion Publications: Ithaca, NY.


Wallace, B. A & Wallace, V. [1997], A Guide to the Boddhisattva Way of Life: Bodhicaryavatara, Snow Lion Publications: Ithaca, NY.


Wiggins, S. [1990], Introduction to Applied Nonlinear Dynamical Systems and Chaos, Springer-Verlag: New York.


Detailed Agenda:

1. Overview of Joint Time-Frequency Analysis (JTFA) and its relevance to neurofeedback training.

2. Introduction to Non-Linear, Dynamical (NLD)Control Theories and their application to the process of neurofeedback training.

3. Cross Correlation of the AutoCorrelation of the JTFA: Derivation and Application to th process of neurofeedback training.

4. Divergence Measures and Dimensionality: Deriving a "best fit" version of Correlation Dimension for application to neurofeedback training.


Presentation #359


Workshop: 

AN INSIDER’S GUIDE TO NEUROCARE PRO AND NEUROCAREMOTE: WHAT YOU NEED TO KNOW TO GET TO WORK NOW


Abstract:

You will learn how to use Zengar NeuroCARE and NeuroCAREmote.


Duration:

240 minutes


Learning Objectives:

1. Understand how to create and download custom training packages for clients using NeuroCARE Pro and NeuroCAREmote,

2. Understand how to use NeuroCARE Pro to simply and amplify neurofeedback training.

3. Lean to use a comprehensive, adaptive approach to neurofeedback training that is not based on symptomatology

4. Lean to use the Cross Correlation of the AutoCorrelations of the Joint Time-Frequency Analyses to ascertain the value of the training in facilitating resilience in the client.


Test Questions:

1. NeuroCAREmote allows for practitioner controlled neurofeedback training at a distance. (True)

2. NeuroCAREmote offers the same training as does NeuroCARE Pro. (True)

3. There are no off-line analysis capabilities in NeuroCAREmote itself; rather, data from home training needs to be analyzed within NeuroCARE Pro. (True)

4. NeuroCAREmote allows the client to choose what visual and auditory feedback they will receive, including free-form visualizations. (True)

5. Practitioners must design and download the specific training that they deem appropriate for each client using NeuroCAREmote. (True)

6. Most families can learn to use NeuroCAREmote within 1-2 sessions. (True)

7. NeuroCAREmote has been successfully used by a number of families and clients as an extension of the neurofeedback training begun in a practitioner’s office. (True)

8. Clients using NeuroCAREmote can choose the frequencies on which they train. (False)

9. Difference training can be implemented “on the fly” in NeuroCARE Pro. (True)

10. Log scaling and log-log scaling are available for real-time training in NeuroCARE Pro. (True)


Bibliography:

Chua, Leon, A Nonlinear Dynamics Perspective of Wolfram’s New Kind of Science Volume 1, 2006, World Scientific Publishing ISBN 981-256-977-4


Fishman, George, Discrete Event Simulation: Modeling, Programming and Analysis, 2001, Springer ISBN 0-387-95160-1


Kirkiliopnis, M. et al, Treands in Nonlinear Analysis, 2003,Springer ISBN 3-540-44198-0


Lotov, Alexander et al, Interactive Decision Maps: Approximation and Visualization of Pareto Frontier, 2004, Kluwer ISBN 1-4020-7631-2


Savken, Andrey and Evans, Robin J., Hybrid Dynamical Systems: Controller and Sensor Switching Problems, 2002, Birhauser ISBN 0-8176-4224-2


Wallace, B. Alan, Contemplative Science: Where Buddhism and Neuroscience Converge, 2007, Columbia University Press, ISBN 0-231-13834-2


Detailed Agenda:

1. Basic framework of the CARE approach 30 min

2. The controls and displays of NeuroCARE pt 1 30 min

3. Break 10 min

4. The controls and displays of NeuroCARE pt 2 50 min

5. Break 10 min

6. Introduction to ZenX Modes and neurofeedback training using automatic timing 50 min

7. Break 10 min

8. Introduction to offline Analysis, including CCAC 30 min

9. Integrating NeuroCARE and NeuroCAREmote 30 min


Presentation #362


Foundation Course: 

CARE®: The Elegance of Non-localized and Non-Global Neurofeedback


Abstract:

Learn about the CARE approach to providing neurofeedback training. This presentation will describe how to facilitate Comprehensive, Adaptive Re-normalization of EEG.


Duration:

60 minutes


Learning Objectives:

1. Understand how the CARE model can be used to provide neurofeedback training without regard to condition, context or diagnosis.

2. Describe the roles of resilience and flexibility in diminishing the turbulence in the EEG.


Test Questions:

1. Turbulence always preceeds a phase shift in a real-world, non-linear dynamical system like the EEG. (True)

2. Simply interrupting an ongoing audio stream during neurofeedback can effectively invoke the Relaxation Response and lead to the release of suffering. (True)


Bibliography:

Chua, Leon, A Nonlinear Dynamics Perspective of Wolfram’s New Kind of Science Volume 1, 2006, World Scientific Publishing ISBN 981-256-977-4


Fishman, George, Discrete Event Simulation: Modeling, Programming and Analysis, 2001, Springer ISBN 0-387-95160-1


Kirkiliopnis, M. et al, Treands in Nonlinear Analysis, 2003,Springer ISBN 3-540-44198-0


Lotov, Alexander et al, Interactive Decision Maps: Approximation and Visualization of Pareto Frontier, 2004, Kluwer ISBN 1-4020-7631-2


Savken, Andrey and Evans, Robin J., Hybrid Dynamical Systems: Controller and Sensor Switching Problems, 2002, Birhauser ISBN 0-8176-4224-2


Wallace, B. Alan, Contemplative Science: Where Buddhism and Neuroscience Converge, 2007, Columbia University Press, ISBN 0-231-13834-2

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