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26 protocols using matlab 2011b

1

Optimizing Dose-Response Curves for Receptor Signaling

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All numerical calculations were performed with Matlab 2011b (MathWorks Inc.). To derive the steady state dose-response curve the models were numerically integrated to steady state at a fixed level of the total amount of signal [ST] with the otherwise indicated parameters using the ode15s solver. To verify the steady-state condition the fsolve function was used. The response amplitude was compared to the explicit mathematical expressions given by Eq. (13) and Eq. (16), respectively and found to agree. The mean response amplitude was determined by averaging over 104 different amplitude values computed from Eq. (16) for randomly chosen Class II parameter sets, which were chosen from Latin hypercube sampling. Robustness was determined by calculating the response entropy given by Eq. (19). To simulate dose-response curves under conditions which optimize information transfer for a given receptor, we optimized the response amplitude by constraining the Class II parameters according to Eq. (14) for binding modulators and determined the optimal [MT] and κ numerically for enzymatic modulators, respectively.
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2

Dual-trap Optical Tweezers with Acousto-Optical Control

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Two digital acousto-optical deflectors (DTSXY-400-1064; AA Opto Electronic, Orsay, France) control the x-y position of the laser in a custom-built setup (see Fig. S4). They are used to create two optical traps in time-sharing mode at a switching rate of 20 kHz using a digital controller (DDSPA2X-D423b-34-0dB; AA Optoelectronics). The continuous wave IR-laser beam (YLM-1-1064-LP; IPG Photonics, Oxford, MA) is widened to slightly overfill the back aperture of the focusing objective (UPLSAPO60XW/IR, NA 1.2, 60×, water immersion; Olympus, Melville, NY) and the light is collected by a long distance objective (60×, water immersion, LUMPLFL 60×, NA 0.9; Olympus). A four-quadrant photodiode (QPD; Cat. No. G6849; Hamamatsu, Hamamatsu City, Japan) is connected to an amplifier (Öffner MSR-Technik, Plankstadt, Germany) to detect the position of trapped beads. Two controllers (PCIe-6259 and NI PCIe-6363; National Instruments, Austin, TX) are used for data acquisition and setup control, allowing a sampling rate of 500 kHz per channel of the QPD. The control of the setup and the analysis of the data are realized using the softwares LabVIEW 2010 (National Instruments) and MATLAB 2011b (The MathWorks, Natick, MA).
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3

Fixation Cross Design and Implementation

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Stimuli were designed using Matlab 2011b (the MathWorks Inc., USA) with Psychophysics Toolbox 3 extensions (http://psychtoolbox.org/). A central red-colored cross with 0.78 deg of diameter was used for fixation [6 (link)].
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4

Resting-State fMRI Preprocessing Protocol

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Resting-state data were preprocessed using SPM12 (Wellcome Trust Centre for Neuroimaging, London, UK) in MATLAB 2011b (MathWorks, Sherbon, MA, USA). Standard preprocessing steps included slice-timing correction, motion correction with realignment to each scan’s middle volume, coregistration to T1-weighted structural MRI, normalization to the Montreal Neurological Institute template (MNI), and finally, spatial smoothing using a 6mm3 Gaussian kernel (FWHM). The Artifact Detection Tool (ART; www.nitrc.org/projects/artifact_detect/) was also used to mark potentially confounding outliers in fMRI time series for exclusion (i.e., rotation > .02 radians from prior volume, or translation > .4 mm from the prior volume) (Chai et al. 2014 (link)). Physiological confounds, including respiratory and cardiac activity, were accounted for by using masks for white matter and CSF generated through anatomical segmentation as regressors in FC analysis (Behzadi et al. 2007 (link)).
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5

Visual Perception Experiment with Eye Tracking

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The experiment was programmed with MATLAB© 2011b (Mathworks, Inc., Natick, MA, USA) using the Psychophysics Toolbox (Version 3.0.12)34 (link)–36 and presented on an LG 24MB 65PY-B 24″ monitor with a physical display size of 516.9 × 323.1 mm. The monitor had a resolution of 1920 × 1200 pixels and a refresh rate of 60 Hz. Eye movements were tracked using a mounted EyeLink 1000 Plus system (SR Research Ltd., Ottawa, Canada). The sampling rate was set to 1000 Hz and we tracked the right eye at a viewing distance of 50 cm.
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6

Phase-Encoded Retinotopic Mapping

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Stimuli were designed using Matlab 2011b (The MathWorks, Inc., USA) with Psychophysics Toolbox 3 extensions (http://psychtoolbox.org/). A central red-colored cross with 0.78 deg of diameter was used for fixation and no task was required from participants.
Eccentricity maps were obtained using a black and white flickering checkerboard expanding ring from the standard phase-encoded retinotopic mapping (Wandell et al., 2007 (link)). Checkerboard ring size varied with cortical magnification factor from center to periphery (Duncan and Boynton, 2003 (link), Strasburger et al., 2011 ). Stimuli flickering frequency was 8 Hz and contrast was ~ 100%. Each run comprised 2 baseline blocks (~ 0% contrast; 12 s) at beginning and end of the run with 4 cycles of eccentricity stimuli (48 s each; total duration of a run 216 s). During each cycle of eccentricity stimuli, the ring size increased continuously from the center to the periphery. Two runs of eccentricity were acquired for each subject.
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7

Two-Photon Imaging of Cerebellar Slices

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Parasagittal cerebellar slices were imaged with a custom-built two-photon microscope (Scientifica) with a Ti:Sapphire laser (MaiTai; Spectra Physics, Santa Clara. CA, USA) tuned to 890 nm (GFP) or 775 nm (non-GFP). Images acquisition was done using ScanImage 3.7 running in MatLab 2011B (Mathworks, Natick, MA, USA). For live imaging, cerebellar slices were kept alive by continuously perfusing buffered ACSF (with drugs) at 33 °C. For fixed tissue, slices from the vermis were imaged on a LSM800 laser scanning confocal microscope (Zeiss, Oberkochen, Germany), while slices from the flocculus were imaged using an LSM700 laser scanning confocal microscope (Zeiss).
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8

Semantic Association Memory Testing

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Cogent 2000 software (www.vislab.ucl.ac.uk/cogent_2000.php) implemented in Matlab 2011b (www.mathworks.com) was used for stimulus presentation. The stimuli were presented on a 30” Dell LCD monitor with a screen resolution of 1024 X 768 pixels at a viewing distance of ~100 cm. The stimuli comprised 256 semantically unrelated word pairs (de Chastelaine et al., 2011 (link)). For each participant, four sets of 48 randomly selected pairs of concrete words served as the stimuli for the study phase and the remaining 64 word pairs served as new items for the test phase. Two sets of 48 word pairs were assigned to the angular gyrus stimulation condition, and the remaining two sets were assigned to the vertex (control) stimulation condition. A single test list was created that comprised 128 intact word pairs (32 from each of the four study lists), 64 rearranged word pairs (16 from each of the four study lists), and 64 new word pairs. Rearranged word pairs were created by re-pairing word pairs presented within the same study phase. A randomized stimulus set was created for each participant.
An additional 16 word pairs with similar characteristics to those just described were used as practice stimuli. The practice study list comprised 12 pairs, and the practice test list comprised 8 intact word pairs from the practice study list, 4 rearranged word pairs, and 4 new word pairs.
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9

Extravascular Brain Sodium Imaging in Stroke

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Magnetic resonance Chemical shift Imaging (CSI) was used to determine extravascular brain Na+ content of rat brains with the NMR chemical shift/relaxation reagent Dysprosium triethylenetetraminehexaacetic acid (DyTTHA) as described previously.17 (link), 18 (link) Following ligation of both sides of the renal artery and vein, 250 mmol/L of DyTTHA (Sigma-Aldrich, Louis, MO) was infused intravenously at 0.3 mL/min to achieve a final dose of 1.5 mmol per liter per kg and allowed to equilibrate across the various body compartments for 20 minutes before MCAO. A 7-T Bruker Biospec MRS/MRI system (Bruker) with a double tuned 1 (link)_H/23Na probe (Doty Scientific, Columbia, SC) was used for Na+ CSI imaging. Two-dimensional Na+ CSI images were acquired via the standard Bruker CSI protocol with Paravision 2.1 software (Bruker Biospin GmbH, Rheinstetten, Germany) and each 23Na CSI data set was acquired in 21 minutes. Na+ CSI spectra were further analyzed using MATLAB 2011b (MathWorks, Natick, MA) to integrate over the unshifted extravascular Na+ peak and that of an external standard to calculate the extravascular Na+ concentration in the core of the infarct up to 170 min after MCAO.
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10

Smartphone-based Snoring Detection

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To develop the snoring detection algorithm, a database was constructed that includes sounds recorded during actual sleep, including snoring, then pre-processing algorithms were developed for noise reduction and snoring feature extraction where snoring was classified via discriminant analysis. An Android smartphone, Samsung GT-I9300 (Galaxy S3™), was used to record the snoring, and Mathworks MATLAB™ 2011b was used to analyze the recorded sounds and to develop the snoring detection algorithm.
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