Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). by Daniel Suárez-Barrera (22676654)

The last 3 shots area of An So-young’s scoring. by Hanguang Yuan (20208923)

“…When the support vector machine uses the RBF function kernel, the accuracy reaches its highest at 87.5%, and the consistency of this prediction model is strong. …”

Typical scoring condition dataset. by Hanguang Yuan (20208923)

“…When the support vector machine uses the RBF function kernel, the accuracy reaches its highest at 87.5%, and the consistency of this prediction model is strong. …”

S1 Raw data - by Hanguang Yuan (20208923)

“…When the support vector machine uses the RBF function kernel, the accuracy reaches its highest at 87.5%, and the consistency of this prediction model is strong. …”

The last 3 shots area of An So-young’s missing. by Hanguang Yuan (20208923)

“…When the support vector machine uses the RBF function kernel, the accuracy reaches its highest at 87.5%, and the consistency of this prediction model is strong. …”

Epidemics on networks. by Samuel Cure (22250922)

Implementation of a Bayesian Optimization Framework for Interconnected Systems by Leonardo D. González (20571619)

“…Gray-box modeling, wherein the performance function is treated as a composition of known and unknown intermediate functions <i>f</i>(<i>x</i>, <i>y</i>(<i>x</i>)) (where <i>y</i>(<i>x</i>) is a GP model), offers a solution to this limitation; however, generating an analytical probability density for <i>f</i> from the Gaussian density of <i>y</i>(<i>x</i>) is often an intractable problem (e.g., when <i>f</i> is nonlinear). …”

The pseudocode outlines the proposed method for scoring the similarity between two protein sequences. by Belén Otero-Carrasco (21262360)

Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals by Shantanu Sarkar (20848745)

Ig-domains templates of Table 1 in Excel format. by Caesar Tawfeeq (21087272)

“…That proportion is much higher in the surfaceome where Ig and Ig-like domains orchestrate cell-cell recognition, adhesion and signaling. …”

Frequency-dependent pre- and post- synaptic plasticity in rate-based models. by Toviah Moldwin (10866708)

Spiking neural network model of the cerebellum with 5,000 neurons in Go/No-go tasks. by Huu Hoang (9188747)

Digitally Assisted Single-Particle Tracking for Accurate Analysis of Complicated Cargo Transport Dynamics in Microtubule Networks by Xiaodong Cheng (8947)

“…Intracellular transport is a fundamental process crucial for cellular function, driven by the coordinated action of motor proteins that move cargo along microtubule tracks. …”

Digitally Assisted Single-Particle Tracking for Accurate Analysis of Complicated Cargo Transport Dynamics in Microtubule Networks by Xiaodong Cheng (8947)

“…Intracellular transport is a fundamental process crucial for cellular function, driven by the coordinated action of motor proteins that move cargo along microtubule tracks. …”

S1 Graphical abstract - by José M. Rivera-Arbeláez (12418512)

“…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”

Citation distribution and allometric relations for the bibliographic coupling network. by Carlos G.O. Fernandes (21417304)

“…<b>(b)</b> Cases (size) as function of citations (mass), for courts. <b>(c)</b> Number of judges as function of citations, for courts. …”

Presentation of the DySCo framework. by Giuseppe de Alteriis (20846230)

“…<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. …”

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

Overview of the Data Analysis Pipeline. by Ayşenur Eser (21713911)

GameOfLife Prediction Dataset by David Towers (12857447)

“…Excluding 0, the lower numbers also get increasingly unlikely, though more likely than higher numbers, we wanted to prevent gaps and therefore limited to 25 contiguous classes</p><p dir="ltr">NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. …”