Category: Neurobiology/psychology
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Will it ever happen?
Evolution of Brains and Computers: The Roads Not Taken – Can machines ever achieve true intelligence? , is a perspective article in entropy by Ricard Solé and Luís F. Seoane, has a great discussion on intelligence. When computers started to become a dominant part of technology around the 1950s, fundamental questions about reliable designs and…
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Metacognition accompanying decision-making
Decision-making is usually accompanied by metacognition, through which a decision maker monitors uncertainty regarding a decision and may then consequently revise the decision. These metacognitive processes can occur prior to or in the absence of feedback. The neural mechanisms of metacognition remain controversial. A novel “decision–redecision” paradigm to investigate the neural metacognitive processes involved in…
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Enriched Environment helps decision
Inter-Individual Differences in Cognitive Tasks: Focusing on the Shaping of Decision-Making Strategies is a recent publication about the Mouse Gambling Task. It revealed about 30% of healthy mice displaying risk-averse choices while about 20-25% of mice make risk-prone choices. These strategies are accompanied by different brain network mobilization and individual levels of regional -prefrontal and…
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Active Inference – The book
Available, – Open Access – free to download – great reading … Active Inference: The Free Energy Principle in Mind, Brain, and Behavior By Thomas Parr, Giovanni Pezzulo, Karl J. Friston The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding…
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Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
This post is a pointer to a great article from Michael Levin, just published in Frontiers in Systems Neurosciences All known cognitive agents are collective intelligences, because we are all made of parts; biological agents in particular are not just structurally modular, but made of parts that are themselves agents in important ways. There is…
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French Horn taught me everything I needed to Know – Arthur Brooks
‘From Strength to Strength:’ Follow this link, fill out the CAPTCHA and … Arthur Brooks discusses his new book. He discusses about a nice set of ideas on building a happy and interesting life. His book, From Strength to Strength: Finding Success, Happiness, and Deep Purpose in the Second Half of Life is a practical…
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Why Can the Brain (And Not a Computer) Make Sense of the Liar Paradox?
Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? This paper addresses this question by defining the Strange Loop Model, which features causal feedback between two brain modules,…
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“Nocebo” calls for vaccination side effects.
Most of the side effects that people experience after a COVID-19 vaccination can be blamed on the ‘nocebo’ effect. The nocebo effect is like the evil twin of the placebo effect — for example, it heightens pain if a person anticipates that something will hurt. Researchers reviewed 12 randomized clinical trials of COVID-19 vaccines and…
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“active learning conditions” stimulate common processes that become part of the representations
There is an emerging consensus on the virtues of active learning methods for improving student performance. Such learning methods can be any instruction or technique that requires students to actively engage in the learning process, as compared to more traditional, passive ways of learning.One form of active learning is retrieval practice (RP), where the activity…
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Binary “Space-Time decisions” accumulate
There was this great article in PNAS, recently: The geometry of decision-making in individuals and collectives. Luis M. Rocha posted a perfect summary on twitter: In biology, complex dynamics so often lead to binary (thresholded/critical) decision: “we predict that the brain repeatedly breaks multichoice decisions into a series of binary decisions in space–time”.
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World Model – “Free Energy” Selections of Perception & Policy
During their lives humans constantly interact with the physical environment, as well as with themselves and others.World model learning and inference are crucial concepts in brain and cognitive science, as well as in AI and robotics. The outstanding challenges of building a generalpurpose AI needs world modelling and probabilistic inference, needed to realise a brain-like…
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Learning: Brain vs xNN
The neural and cognitive architecture for learning from a small sample is a nice article I would like to recommend. It highlights how human learners avoid generalization issues found in machine learning, proposes a general model explaining how the brain may simplify complex problems. Synergy between cognitive functions and reinforcement learning allows simplification.Recurrent loops between…
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Can we get human nature right?
For years, I have the pleasure to follow the great blog site of Deric Brownd. I would like to share with you this post on the recent perspective on ‘Can we get human nature right?‘. Iris Berent does an interesting Perspective artice in PNAS that considers the strong intuitions that laypeople hold about human nature. People’s attitudes…
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Does the quality of “Smart Information Processing” connect with the Default Mode Network ?
I was triggered by an article in Nature, explaining the atypical connectome hierarchy in ASD (Autism Spectrum Disorder). ASD is characterized by atypical sensory processing, while and deficits in high-level cognitive and social functions, including impairments in Theory of Mind and predictive abilities. The article points out that ASD might emerge from disturbances in macroscale cortical…
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Friston: The Genius Neuroscientist Who Might Hold the Key to True AI, WIRED says.
Karl Friston’s free energy principle might be the most all-encompassing idea since Charles Darwin’s theory of natural selection. But to understand it, you need to peer inside the mind of Friston himself. Wired has a great article on this idea and researcher.Some inspiring exerpts and quotes: He realized that [it] had no larger purpose, at…
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Coarse-graining as a downward causation mechanism
Apparent downward causation does not demand that estimates of aggregate properties be correct or even good predictors of the system’s future state or successful strategies (although that would be useful). Furthermore, components do not need to agree in their estimates of the variables. Apparent downward causation becomes effective downward causation—the strong form—when: As an interaction or environmental…
