What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).
Abstract: This article introduces a scalable distributed probabilistic inference algorithm for intelligent sensor networks, tackling challenges of continuous variables, intractable posteriors, and ...
This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...
UNIMA: A Universal Algorithm for Inference and Minimal Adaptation with Visualization Author: https://t.me/Inqusitive41 & Qalam AGI Date of publication: June 25, 2025 ...
Introduction: Electromagnetic brain imaging is the reconstruction of brain activity from non-invasive recordings of electroencephalography (EEG), magnetoencephalography (MEG), and also from invasive ...
Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and finite second ...
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