The analysis in this article does not use actual data obtained directly from note. I have used simulation data (n=500) generated in Python based on parameters set by the author using prior research ...

Created and maintained by @GioeleB00. Save as my_service.yml. The full YAML schema is explained in docs/guides/yaml-input-builder.md and validated by Pydantic models ...

This study introduces a valuable simulation-based inference (SBI) framework to identify degenerate compensatory mechanisms that stabilize network activity despite neuronal hyperexcitability, a feature ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

Operational risk modelling is a critical practice in financial institutions to quantify potential losses from internal processes, human errors, systems failures, or external events. One effective ...

Particle flow code (PFC) is a typical discrete element method (DEM) that is commonly used to simulate the mechanical behaviour of granular materials. However, the ...

Computational research tools have reached a level of maturity that enables efficient simulation of neural activity across diverse scales. Concurrently, experimental neuroscience is experiencing an ...

The Poisson Distribution is a discrete probability distribution that models the number of events occurring within a fixed interval of time or space, provided these events happen independently and at a ...

Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process ...

More than half of the Top 10 supercomputing sites worldwide use GPU accelerators and they are becoming ubiquitous in workstations and edge computing devices. GeNN is a C++ library for generating ...