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Found 16 papers, 2 papers with code
Investigating Rich Feature Sources for Conceptual Representation Encoding
Functional Magnetic Resonance Imaging (fMRI) provides a means to investigate human conceptual representation in cognitive and neuroscience studies, where researchers predict the fMRI activations with elicited stimuli inputs.
Modeling HIF-ILK Interaction Using Continuous Petri Nets
Oxygen concentration in tumor micro-environment is a well-established signal that can induce aggressive cancer behaviour.
Petri Net Modeling of Root Hair Response to Phosphate Starvation in Arabidopsis Thaliana
A Petri Net was created which could simulate the gene regulatory networks responsible for the increase in root hair length, as well as the resulting increase in root hair length.
Analysis of 3D Urticaceae Pollen Classification Using Deep Learning Models
Due to the climate change, hay fever becomes a pressing healthcare problem with an increasing number of affected population, prolonged period of affect and severer symptoms.
Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings
To address these limitations, we introduce Homogeneity-Heterogeneity Disentangled Learning for neural Representations (H2DiLR), a novel framework that disentangles and learns both the homogeneity and heterogeneity from intracranial recordings across multiple subjects.
Towards free-response paradigm: a theory on decision-making in spiking neural networks
The energy-efficient and brain-like information processing abilities of Spiking Neural Networks (SNNs) have attracted considerable attention, establishing them as a crucial element of brain-inspired computing.
Unified Predefined-time Stability Conditions of Nonlinear Systems with Lyapunov Analysis
This brief gives a set of unified Lyapunov stability conditions to guarantee the predefined-time/finite-time stability of a dynamical systems.
Modeling iPSC-derived Endothelial Cell Transition in Tumor Angiogenesis using Petri Nets
Although the pipeline does not capture the entire complexity of tumor angiogenesis, we are able to capture the essence of endothelial cell transitions in tumor angiogenesis using this conceptually simplified solution.
Visualizing, Analyzing and Constructing L-System from Arborized 3D Model Using a Web Application
The focus of this paper is to combine 3D visualization, analysis and L-system abstraction into a single web application.
Toward stochastic neural computing
To account for the propagation of correlated neural variability, we derive from first principles a moment embedding for spiking neural network (SNN).
SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition
Moreover, we propose a pseudo dual-flow network based on this dataset, and verify the application potential of this dataset in the affective computing community.
A Fast Feature Point Matching Algorithm Based on IMU Sensor
To reduce time consuming when matching feature points in SLAM, an algorithm of using inertial measurement unit (IMU) to optimize the efficiency of image feature point matching is proposed.
New results on inclusive $B\to X_{u} \ell ν$ decay from the Belle experiment
We report on the measurement of inclusive charmless semileptonic B decays $B \to X_{u} \ell \nu$.
High Energy Physics - Experiment
Range Value-at-Risk: Multivariate and Extreme Values
Numerical and graphical examples are provided to examine the accuracy of the empirical estimators.
A new Majorana platform in an Fe-As bilayer superconductor
On the other hand, some iron-pnictide (Fe-As) superconductors, such as LiFeAs, have been demonstrated to have a similar topological band structure, yet no MZM has been observed in its vortex cores, raising a question of universality of MZM presence in iron-based superconductors.
Superconductivity Strongly Correlated Electrons
Mimicing the Kane-Mele type spin orbit interaction by spin-flexual phonon coupling in graphene devices
On the efforts of enhancing the spin orbit interaction (SOI) of graphene for seeking the dissipationless quantum spin Hall devices, unique Kane-Mele type SOI and high mobility samples are desired.
Mesoscale and Nanoscale Physics
