The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
Abstract: We propose a systematic and efficient extension of the multimodal transfer-matrix method to obtain the dispersion diagram of structures with 2-D periodicity specifically targeted to ...
A cv2 import statement has pytest-cov looking for two source files in cwd instead of in site-packages/cv2. So two warnings are issued, because coverage doesn't find config.py and config-3.py. This ...
Processing flow for representational similarity analysis (RSA). Experimental stimuli or conditions are presented to both the subjects and the model we want to test. Using an estimator for the ...
The year 2025 marks a turning point as traditional financial institutions begin adopting blockchain technologies at scale. Two powerful currents are in focus. On one side, stablecoin legislation is ...
A new technical paper titled “STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D Integration” was published by researchers at Pennsylvania State University, Intel, Arizona ...
Abstract: To explore the anisotropic nature and improve computational efficiency, eigenvalue (EV-) analysis is adopted to implement the transfer matrix method (TMM), abbreviated as EV-TMM, enabling ...
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