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brain function » barrier function (Expand Search), protein function (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm design (Expand Search)
brain function » barrier function (Expand Search), protein function (Expand Search)
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261
Both Knees fNIRS MI dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection
Published 2025“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”
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S2 File -
Published 2024“…Our analysis reveals distinct neural signatures associated with ASD and ADHD: individuals with ADHD exhibit altered connectivity patterns of regions involved in attention and impulse control, whereas those with ASD show disruptions in brain regions critical for social and cognitive functions. …”
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Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025)
Published 2025“…<p dir="ltr">This paper explores the concept of synthetic realness: how authenticity is increasingly engineered by algorithms until the line between real and fake becomes functionally irrelevant. …”
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Clinical characteristics of the participants.
Published 2025“…</p><p>Methods</p><p>We included 30 patients (48 eyes) who underwent HFA 24-2 Swedish Interactive Threshold Algorithm Standard and IMOvifa™ 24plus (1-2) Ambient Interactive Zippy Estimated tests on the same day and HFA 10-2 within six months. …”
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Presentation of the DySCo framework.
Published 2025“…<p>A: What is dynamic Functional Connectivity: i) We can start from any set of brain recordings, where each signal is referred to a brain location (e.g. fMRI, EEG, intracranial recordings in rodents, and more). ii) “Static” Functional Connectivity (FC) is a matrix where each entry is a time aggregated functional measure of interaction between two regions, for example, the Pearson Correlation Coefficient. iii) Dynamic Functional Connectivity (dFC) is a FC matrix (that can be calculated in different ways, see below) that changes with time, under the assumption that patterns of brain interactions are non-stationary. …”
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Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes
Published 2025“…<p dir="ltr">Supplementary material for Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes.…”
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Overview of MINT.
Published 2025“…<p>A: List of main MINT functions. B: MINT provides multivariate information theoretic functions to quantify the amount of information that single neurons or neural populations carry about task-relevant variables (e.g., sensory stimuli or behavioral choices). …”
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Distribution of pro-group sizes before and after selecting the top 10 features.
Published 2025Subjects: -
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