Effects of noise level and surround suppression threshold on model convergence time in the RDK task, experiment III. by Elnaz Nemati (21402730)

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Stimuli to test the coherency threshold for surround suppression. by Elnaz Nemati (21402730)

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Effects of noise and historical window duration on the time to convergence of model (experiment III). by Elnaz Nemati (21402730)

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Overview of experimental paradigms. by Elnaz Nemati (21402730)

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The model successfully identified the motion structure in experiments I and II. by Elnaz Nemati (21402730)

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Surround Suppression mechanism. by Elnaz Nemati (21402730)

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Parameters of stimuli used in the study. by Elnaz Nemati (21402730)

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Illustration of visual motion structure separation in complex scenes. by Elnaz Nemati (21402730)

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Individual and shared motion in a random dot kinematogram, experiment III. by Elnaz Nemati (21402730)

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A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Supporting data for "Truck-and-Drone System for Multi-type Rescue Services after Disasters" by Wenbo Sun (11055594)

“…In addition, the Python code for processing the data is also included in the dataset. …”

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Calibration capacitors (see Fig 2C), phases for the benchtop test, and <i>S</i>_<i>nn</i> scattering parameters with analogous phase MRI calibration values for each eleme... by Maryam Arianpouya (12299222)

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Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

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PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

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Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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List of Abbreviations by Gursimran Singh (575288)

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

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PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared. by Gursimran Singh (575288)

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