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You searched for subject:(Spectral Granger causality). Showing records 1 – 5 of 5 total matches.

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University of Waterloo

1. Datta Gupta, Syamantak. On MMSE Approximations of Stationary Time Series.

Degree: 2014, University of Waterloo

 In a large number of applications arising in various fields of study, time series are approximated using linear MMSE estimates. Such approximations include finite order… (more)

Subjects/Keywords: autoregressive estimates; linear estimation; Wiener filter; Granger causality; directed information; spectral density; time average variance constant; sparse recovery; cyclostationary process; wide sense stationary

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APA (6th Edition):

Datta Gupta, S. (2014). On MMSE Approximations of Stationary Time Series. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Datta Gupta, Syamantak. “On MMSE Approximations of Stationary Time Series.” 2014. Thesis, University of Waterloo. Accessed October 01, 2020. http://hdl.handle.net/10012/8143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Datta Gupta, Syamantak. “On MMSE Approximations of Stationary Time Series.” 2014. Web. 01 Oct 2020.

Vancouver:

Datta Gupta S. On MMSE Approximations of Stationary Time Series. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10012/8143.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Datta Gupta S. On MMSE Approximations of Stationary Time Series. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8143

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Bajaj, Sahil. Brain Connectivity changes after Stroke and Rehabilitation.

Degree: PhD, Physics and Astronomy, 2015, Georgia State University

  Several cortical and subcortical areas of brain interact coherently during various tasks such as motor-imagery (MI) and motor-execution (ME) and even during resting-state (RS).… (more)

Subjects/Keywords: Functional magnetic resonance imaging; Spectral Granger causality; Dynamical causal modeling; Stroke recovery; Rehabilitation; Motor network

…5 3.2 Spectral Granger causality measures… …17 4.2.5 Spectral Granger causality measures and significant tests… …spectral version of Granger causality and dynamical causal modeling, used to explore connectivity… …and DCM task based fMRI data. 3.2 Spectral Granger causality measures Spectral Granger… …x29; (Granger causality measures), which → → are derived from a spectral density… 

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APA (6th Edition):

Bajaj, S. (2015). Brain Connectivity changes after Stroke and Rehabilitation. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/76

Chicago Manual of Style (16th Edition):

Bajaj, Sahil. “Brain Connectivity changes after Stroke and Rehabilitation.” 2015. Doctoral Dissertation, Georgia State University. Accessed October 01, 2020. https://scholarworks.gsu.edu/phy_astr_diss/76.

MLA Handbook (7th Edition):

Bajaj, Sahil. “Brain Connectivity changes after Stroke and Rehabilitation.” 2015. Web. 01 Oct 2020.

Vancouver:

Bajaj S. Brain Connectivity changes after Stroke and Rehabilitation. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2020 Oct 01]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/76.

Council of Science Editors:

Bajaj S. Brain Connectivity changes after Stroke and Rehabilitation. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/phy_astr_diss/76


Indian Institute of Science

3. Hariharan, N. Time Series Analysis Of Neurobiological Signals.

Degree: PhD, Faculty of Science, 2011, Indian Institute of Science

Subjects/Keywords: Time Series Analysis; Neurobiological Signals; AMVAR; Multitaper Method; Spectral Analysis; Adaptive Multi Variate Autoregressive; Multitaper Methods; Granger Causality; Brain Machine Interface (BMI); Multivariate Autoregresslve Models; Statistical Mathematics

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APA (6th Edition):

Hariharan, N. (2011). Time Series Analysis Of Neurobiological Signals. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/1452

Chicago Manual of Style (16th Edition):

Hariharan, N. “Time Series Analysis Of Neurobiological Signals.” 2011. Doctoral Dissertation, Indian Institute of Science. Accessed October 01, 2020. http://etd.iisc.ac.in/handle/2005/1452.

MLA Handbook (7th Edition):

Hariharan, N. “Time Series Analysis Of Neurobiological Signals.” 2011. Web. 01 Oct 2020.

Vancouver:

Hariharan N. Time Series Analysis Of Neurobiological Signals. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2011. [cited 2020 Oct 01]. Available from: http://etd.iisc.ac.in/handle/2005/1452.

Council of Science Editors:

Hariharan N. Time Series Analysis Of Neurobiological Signals. [Doctoral Dissertation]. Indian Institute of Science; 2011. Available from: http://etd.iisc.ac.in/handle/2005/1452

4. Adhikari, Bhim M. Oscillatory Network Activity in Brain Functions and Dysfunctions.

Degree: PhD, Physics and Astronomy, 2014, Georgia State University

  Recent experimental studies point to the notion that the brain is a complex dynamical system whose behaviors relating to brain functions and dysfunctions can… (more)

Subjects/Keywords: Perceptual decision-making; Spectral Granger causality; Cortical sources in tactile discrimination; High-frequency oscillations; seizure localization; Epilepsy surgery

Spectral power averages, total interdependence (TI), and time-domain Granger causality… …Granger causality spectral peaks, though reduced in magnitudes, remain significant at ~15 Hz in… …L, P, and F as in Fig. A7. Power, coherence, and Granger causality spectral peaks occur at… …spectral Granger causality analysis in order to localize the seizure onset zones (SOZs)… …38 4 LOCALIZING EPILEPTIC SEIZURE ONSETS WITH GRANGER CAUSALITY ... 40… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Adhikari, B. M. (2014). Oscillatory Network Activity in Brain Functions and Dysfunctions. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_diss/67

Chicago Manual of Style (16th Edition):

Adhikari, Bhim M. “Oscillatory Network Activity in Brain Functions and Dysfunctions.” 2014. Doctoral Dissertation, Georgia State University. Accessed October 01, 2020. https://scholarworks.gsu.edu/phy_astr_diss/67.

MLA Handbook (7th Edition):

Adhikari, Bhim M. “Oscillatory Network Activity in Brain Functions and Dysfunctions.” 2014. Web. 01 Oct 2020.

Vancouver:

Adhikari BM. Oscillatory Network Activity in Brain Functions and Dysfunctions. [Internet] [Doctoral dissertation]. Georgia State University; 2014. [cited 2020 Oct 01]. Available from: https://scholarworks.gsu.edu/phy_astr_diss/67.

Council of Science Editors:

Adhikari BM. Oscillatory Network Activity in Brain Functions and Dysfunctions. [Doctoral Dissertation]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/phy_astr_diss/67


University of Florida

5. Rajagovindan, Rajasimhan. Functional role of neural oscillations in attention and memory in humans.

Degree: PhD, Biomedical Engineering, 2009, University of Florida

 FUNCTIONAL ROLE OF NEURAL OSCILLATIONS IN ATTENTION AND MEMORY IN HUMANS Synchronized oscillatory neural activity involving widespread neural ensemble is common in the central nervous… (more)

Subjects/Keywords: Anticipation; Causality; Electroencephalography; Memory; Modeling; Monkeys; Neuroscience; Signals; Visual cortex; Visual fields; alpha, attention, biomarkers, brain, causality, cognitive, cortex, cortical, eeg, erp, granger, memory, neural, neuronal, ongoing, oscillations, spectral, theta, topdown

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rajagovindan, R. (2009). Functional role of neural oscillations in attention and memory in humans. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0022215

Chicago Manual of Style (16th Edition):

Rajagovindan, Rajasimhan. “Functional role of neural oscillations in attention and memory in humans.” 2009. Doctoral Dissertation, University of Florida. Accessed October 01, 2020. https://ufdc.ufl.edu/UFE0022215.

MLA Handbook (7th Edition):

Rajagovindan, Rajasimhan. “Functional role of neural oscillations in attention and memory in humans.” 2009. Web. 01 Oct 2020.

Vancouver:

Rajagovindan R. Functional role of neural oscillations in attention and memory in humans. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2020 Oct 01]. Available from: https://ufdc.ufl.edu/UFE0022215.

Council of Science Editors:

Rajagovindan R. Functional role of neural oscillations in attention and memory in humans. [Doctoral Dissertation]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0022215

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