ABOUT
Here you will find my contact details and the sources that inspire the development of the Valqui Method.
CONTACT
BIBLIOGRAPHY & RESOURCES
1. Prediction and Predictive Coding
- • Rao, R. P. & Ballard, D. H. (1999). Predictive coding in the visual cortex. Nature Neuroscience.
→ PREDICTIVE CODING: A MORE COGNITIVE PROCESS THAN WE THOUGHT? - • Friston, K. et al. (2006). A free-energy principle for the brain. Journal of Physiology-Paris.
→ VIDEO: THE FREE ENERGY PRINCIPLE - • Heilbron, M. et al. (2022). A hierarchy of predictive signals during language comprehension. PNAS.
→ OUR BRAIN IS A PREDICTION MACHINE THAT IS ALWAYS ACTIVE - • Alink, A. et al. (2010). Stimulus predictability reduces responses in primary visual cortex. Journal of Neuroscience.
→ THE BRAIN IS A PREDICTION MACHINE
2. Energy Efficiency
- • Lieberman, D. E. (2021). Exercised: Why Something We Never Evolved to Do Is Healthy and Rewarding. Pantheon Books.
- • Hechler, A. et al. (2024). Energy savings across the cortex for confidently predicted visual input. BioRxiv / LMU Munich.
→ ENERGY SAVINGS ACROSS THE CORTEX - • Ali, A. et al. (2022). Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns.
→ ENERGY EFFICIENCY AS A NORMATIVE ACCOUNT FOR PREDICTIVE COGNITION
3. Habits and Plasticity
- • Huberman, A. (2025). «The Science of Making & Breaking Habits». Huberman Lab Podcast.
→ SCIENCE OF MAKING GOOD HABITS (VIDEO) - • Huberman, A. (2021). «How to Focus to Change Your Brain». Huberman Lab Podcast.
→ HUBERMAN LAB: HOW TO FOCUS - • Moser, J. S. et al. (2011). Mind Your Errors: Neural Mechanism Linking Growth Mind-Set to Adaptive Post-Error Responses. Psychological Science.
4. Repetition and Motivation
- • Grill-Spector, K. et al. (2006). Repetition suppression. Trends in Cognitive Sciences.
- • Psychology Today. The Remarkable Power of Hope (Richter experiment).
→ THE REMARKABLE POWER OF HOPE - • Neuroscience News. Importance of Neuroscience in Decision Making.
→ IMPORTANCE OF NEUROSCIENCE IN DECISIONS
MoviLinguas is a project in constant evolution. This bibliography represents the framework that inspires my understanding of learning.