Category: Biology of Information
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Divergent Perception: Framing Creative Cognition
“Divergent Perception: Framing Creative Cognition Through the Lens of Sensory Flexibility” “Savoir regarder est un moyen d’inventer.” Salvador Dali. Creativity is a cornerstone of human evolution and is typically defined as the multifaceted ability to produce novel and useful artifacts. Although much research has focused on divergent thinking, growing evidence underscores the importance of perceptual…
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Towards embodied intelligence
“Intelligent soft matter: towards embodied intelligence” Intelligent soft matter lies at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transformative field aims to create materials with life-like capabilities, such as perception, learning, memory, and adaptive behavior. Unlike traditional materials, which typically perform static…
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Known and Unknown Biases
“Known and Unknown Biases: A Framework for Contextualising and Identifying Bias in Animal Behaviour Research“ (This article discusses the bias in animal behaviour research, but – as known to most readers, I hope – humanes too are members of the animal kingdom 🙂 Biases in animal behaviour research are inevitable consequences of our societal and…
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A Model of Creative Thinking
“Adaptive Decision-Making “Fast” and “Slow”: A Model of Creative Thinking” The late Daniel Kahneman introduced the concept of fast and slow thinking, representing two distinct cognitive systems involved in decision-making (DM). Fast thinking (System 1) operates intuitively and spontaneously. In contrast, slow thinking (System 2) is characterized by deliberation and analytical reasoning. Following Kahneman’s view, called the…
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The Idealized Mind
The Idealized Mind: From Model-Based Science to Cognitive Science.The open access edition of this book was made possible by generous funding and support from MIT Press Direct to Open A defense of scientific realism based on the role of idealization in the cognitive sciences. We study nature, including the mind and brain, by building scientific models.…
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Pathfinding: a neurodynamical account of intuition
Pathfinding: a neurodynamical account of intuition We examine the neurobiology of intuition, a term often inconsistently defined in scientific literature. While researchers generally agree that intuition represents “an experienced-based process resulting in a spontaneous tendency toward a hunch or hypothesis,” we establish a firmer neurobiological foundation by framing intuition evolutionarily as a pathfinding mechanism emerging…
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Plasticity: A network theory
“Plasticity in mental health: A network theory“ Plasticity is the ability to modify brain and behavior, ultimately promoting an amplification of the impact of the context on the individual’s mental health. Thus, plasticity is not beneficial per se but its value depends on contextual factors, such as the quality of the living environment. High plasticity is…
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Top-down and bottom-up neuroscience
“Top-down and bottom-up neuroscience: overcoming the clash of research cultures“ As scientists, we want solid answers, but we also want to answer questions that matter. Yet, the brain’s complexity forces trade-offs between these desiderata, bringing about two distinct research approaches in neuroscience that we describe as ‘top-down’ and ‘bottom-up’. Bottom-up neuroscience The bottom-up research culture…
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Therapy That Isn’t Psychotherapy
I found this nice discours on an interesting topic, related with individual challlenges, AI and related tools appearing in this relation. Therapy That Isn’t Psychotherapy by Steven Reidbord Reducing the problem to a merely external one leads to therapy that resembles political advocacy; therapy that prizes agreement (“validation”) over all else; therapy that absolves the patient…
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Resilience phenotypes derived from an active inference account of allostasis
“Resilience phenotypes derived from an active inference account of allostasis“:Within a theoretical framework of enactive allostasis, we explore active inference strategies for minimizing surprise to achieve resilience in dynamic environments. While individual differences and extrinsic protective factors traditionally account for variability in resilience trajectories following stressor exposure, the enactive model emphasizes the importance of the…
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