The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first ...
The mechanical response of linear viscoelastic materials is often described with Generalized Maxwell models. The necessary material model parameters are typically identified by fitting a Prony series ...
from hspcore import get_hsp #hsp grid is a list of solvents as [[Solvent,D,P,H,Score],...] hsp_grid = [ ['Acetonitrile', 15.3, 18.0, 6.1, 1], ['1-Bromonaphthalene ...
I put Gemini 3.0 and Grok 4.1 through 9 head-to-head prompts — from logic and creativity to humor and tone. Here's what ...
Abstract: This study focuses on inferring cost functions of obtained movement data using reward parameter search and pol-icy gradient based Reinforcement Learning (RL). The behavior data for this task ...
A parameter is declared within the parentheses of a function's header. These declarations specify the name and, in statically ...
Abstract: This study presents the design of feedback controllers for generalized cost functions to deal with stochastic optimal control problems. Target linear systems contain time-invariant ...
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