Скачать или смотреть Mind-Aware Neural Models: Strategy and Adaptive Learning

This research proposal outlines a comprehensive initiative to merge computational neuroscience with cognitive psychology by integrating constructs like intelligence, motivation, and behavioral strategy into biophysical brain models.

Building on existing high-fidelity simulations of thalamocortical circuits, the project aims to create hybrid systems that emulate flexible and goal-driven learning rather than just physical neural activity. The plan is divided into two tracks: a grounded track focusing on behavioral modulation of plasticity and cross-species comparisons, and an exploratory track venturing into speculative domains like synthetic meta-cognition and theory of mind simulation.

The core hypothesis posits that adding cognitive variables will significantly increase the fidelity and predictive power of neural simulations, providing a fuller understanding of adaptive intelligence. Successful development of this architecture is expected to yield key applications in developing adaptive neurotechnologies, such as advanced brain-computer interfaces, and autonomous systems capable of emotional and reflective learning.