Neuro-personalization in learning: what the evidence actually says
The Cognitive Architecture of Learning and the Challenge of Sustained Attention The Imperative of Attention in Learning Successful learning is a complex cognitive process predicated on the integration of information from the external environment with an individual’s internal mental representations.1 This foundational act of encoding and comprehension is not a passive process of information transfer but is critically dependent on the capacity for sustained attention. However, the human attentional system is inherently unstable, subject to constant endogenous fluctuations that can
Neocore EEG Foundation Model (NCE-FM)
A Foundation Model White Paper by neocore 1. Overview The Neocore EEG Foundation Model (NCE-FM) is a large-scale, ~1B parameter, transformer-based model designed as a universal representation learner for EEG signals. Pre-trained on roughly 1000 hours of multi-task EEG recordings (equivalent to ~165 billion tokens), including both task-driven and resting-state data captured from various hardware setups and channel configurations. The model is hardware-, montage-, and channel-agnostic; even effective with a minimal 2-channel setup. A VQCAE block tokenizes the raw EEG
Our mission is to end the Stone Age.
if you easily get irritated, loose your focus or can not even read a 2 minutes article. it’s not you! the content industry is designed for brains we no-longer have! Content has remained static since the beginning of written language. All content is a byproduct of an individual’s unique cognitive processing, but can never fully capture the essence of that process. The quality of content depends on how accurately it creates the same internal perception in the audience as it