Information decomposition and the informational architecture of the brain

AI Luppi, FE Rosas, PAM Mediano, DK Menon… - Trends in Cognitive …, 2024 - cell.com
To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …

Use of multi‐perturbation Shapley analysis in lesion studies of functional networks: The case of upper limb paresis

S Ofir‐Geva, I Meilijson, S Frenkel‐Toledo… - Human Brain …, 2023 - Wiley Online Library
Understanding the impact of variation in lesion topography on the expression of functional
impairments following stroke is important, as it may pave the way to modeling structure …

Cortical involvement in essential tremor with and without rest tremor: a machine learning study

MG Bianco, A Quattrone, A Sarica, F Aracri… - Journal of …, 2023 - Springer
Introduction There is some debate on the relationship between essential tremor with rest
tremor (rET) and the classic ET syndrome, and only few MRI studies compared ET and rET …

Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain

K Fakhar, CC Hilgetag - PLOS Computational Biology, 2022 - journals.plos.org
Lesion inference analysis is a fundamental approach for characterizing the causal
contributions of neural elements to brain function. This approach has gained new …

Ground-truth validation of uni-and multivariate lesion inference approaches

M Zavaglia, C Malherbe, S Schlaadt… - Brain …, 2024 - academic.oup.com
Lesion analysis aims to reveal the causal contributions of brain regions to brain functions.
Various strategies have been used for such lesion inferences. These approaches can be …