Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis حسب Mustafa Sertbas (18211859)

"…Cerebral dysfunctions give rise to a wide range of neurological diseases due to the structural and functional complexity of the human brain stemming from the interactive cellular metabolism of its specific cells, including neurons and glial cells. …"

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis حسب Mustafa Sertbas (18211859)

"…Cerebral dysfunctions give rise to a wide range of neurological diseases due to the structural and functional complexity of the human brain stemming from the interactive cellular metabolism of its specific cells, including neurons and glial cells. …"

Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making حسب Xiaofei Zhang (16483224)

"…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …"

Flawless analysis framework overview, with application to EEG power spectral densities as functional data observed over time. حسب Owen Forbes (4530652)

Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ حسب Sarun Horn (20899271)

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. حسب Gursimran Singh (575288)

الموضوعات:

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

الموضوعات:

PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. حسب Gursimran Singh (575288)

الموضوعات:

Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. حسب Gursimran Singh (575288)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. حسب Gursimran Singh (575288)

الموضوعات:

Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. حسب Gursimran Singh (575288)

الموضوعات:

Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. حسب Gursimran Singh (575288)

الموضوعات:

A typical BCI system depicting the flow and processing of EEG data. حسب Gursimran Singh (575288)

الموضوعات:

Classification of the emergent synchronization patterns when stimulating a single brain region for three different cases. حسب Andrew Patton (10224161)

Table 1_Static and temporal dynamic changes in brain activity in patients with post-stroke balance dysfunction: a pilot resting state fMRI.docx حسب Zhiqing Tang (12895406)

"…</p>Conclusion<p>In conclusion, this study provided evidence of functional abnormalities in local brain regions in patients with post-stroke balance dysfunction. …"

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…"