Study Overview The research investigated the outcomes and clinical trajectories following mild traumatic brain injury (mTBI), with a specific focus […]
Program Development Framework In crafting a robust structure for the intergenerational cognitive and physical activity program designed for patients with
Study Overview This research aims to investigate the potential of deep learning techniques to simultaneously analyze multiple modalities of data
The Bayesian brain hypothesis frames the brain as a probabilistic machine, constantly updating predictions based on incoming sensory data. Emerging research explores striking parallels with quantum mechanics, suggesting that concepts like superposition and entanglement may offer deeper insights into perception, decision-making, and cognitive uncertainty, challenging traditional models and inspiring new approaches to understanding the dynamics of the mind.
Bayesian brain theories and their link to quantum mechanics Read Post »
Dissatisfaction with classical models of reasoning led researchers to explore quantum principles within cognitive science, offering novel explanations for paradoxical human behaviour. Quantum cognition, leveraging concepts like superposition, contextuality, and entanglement, challenges traditional Bayesian frameworks, providing dynamic models of decision-making, memory, and language. By embracing quantum mathematics, this emerging field captures the fluid, context-sensitive nature of thought, reshaping theories of human reasoning and inspiring advances in artificial intelligence, neuroscience, and mental health research.
Understanding quantum thought through mathematical frameworks Read Post »
