Category: Biology of Information
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From reductionism to realism
“From reductionism to realism: holistic mathematical modelling for complex biological systems” At its core, the physics paradigm adopts a reductionist approach, aiming to understand fundamental phenomena by decomposing them into simpler, elementary processes. While this strategy has been tremendously successful in physics, it has often fallen short in addressing fundamental questions in the biological sciences.…
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Affective State as a central component to environmental changes
“Considering affective state as a central component of the response of animals to environmental changes” Current environmental changes are often considered as negatively impacting the affective state of animals. Yet, the interplay betweenenvironmental conditions and affective state should rather be viewed as a reciprocal and dynamic relationship, as variation in affective state likely determines how…
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Music as a scientific metaphor for mind and brain
“Music as a scientific metaphor for mind and brain” Metaphors have long played multiple roles in conceptualizing the mind and brain, guiding the development and refinement of theoretical models and empirical questions. Early analogies (comparing the brain to hydraulic systems, telephone exchanges, factories, or libraries) offered shortcuts to understanding aspects of cognition, memory, and brain…
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Active Construction of Past Episodes
“The active construction of past episodes” Episodic memories – declarative memories of past events, characterized by rich spatiotemporal context – play a central role in guiding perception and behaviour. Here, we advance a model that integrates episodic memories within the active inference framework. We describe how episodic memories are incorporated into the generative models used…
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Wise Machines
“Imagining and building wise machines: the centrality of AI metacognition” Although artificial intelligence (AI) has become increasingly smart, its wisdom has not kept pace. In this opinion article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We introduce human wisdom as strategies for solving intractable problems—those outside…
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Linking fast and slow
“Linking fast and slow: The case for generative models” A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions. Recent hardware innovations and falling data storage costs enable longer, more naturalistic neuronal recordings. The implicit opportunity for understanding the self-organised brain…
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Robust Decision-Making Via Free Energy Minimization
“Robust Decision-Making Via Free Energy Minimization” html, pdf, video, Nature Communications Despite their groundbreaking performance, state-of-the-art autonomous agents can misbehave when training and environmental conditions become inconsistent, with minor mismatches leading to undesirable behaviors or even catastrophic failures. Robustness towards these training/environment ambiguities is a core requirement for intelligent agents and its fulfillment is a…
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Exploration and Exploitation & Coping Strategy
“Transition Dynamics Between Exploration and Exploitation Predicts Individual Differences in Coping Strategy” Adaptive decision-making requires balancing exploitation of known rewarding options with exploration of uncertain alternatives, a dilemma also known as the exploration-exploitation tradeoff. While this framework has been widely studied in reinforcement learning research, its relevance to coping, defined as the cognitive and behavioral…
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Your brain on nature
“Your brain on nature: A scoping review of the neuroscience of nature exposure” The relationship between natural environments and human cognition has gathered increasing attention across disciplines, including neuroscience, environmental psychology, and public health. An expanding body of empirical evidence supports the notion that exposure to nature consistently promotes psychological and physiological well-being. However, our…
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Narcissism: Blunted Error-Related Brain Activity
“Narcissism Is Associated With Blunted Error-Related Brain Activity” Narcissism is associated with self-enhancement and social antagonism, yet its neural underpinnings, particularly in error processing, remain underexplored. Competing theoretical models, such as the mask model and the metacognitive model, offer conflicting hypotheses regarding how narcissism influences early neural responses to errors. We examine whether grandiose agentic…
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Active information sampling in health and disease
“Active information sampling in health and disease” Active information gathering is a fundamental cognitive process that enables organisms to navigate uncertainty and make adaptive decisions. This review has synthesised current knowledge on the behavioural, neural, and computational mechanisms underlying information sampling across health and disease. Several key themes have emerged from this analysis. Firstly, information…
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Boredom and curiosity – information
“Boredom and curiosity: the hunger and the appetite for information“ Boredom and curiosity are common everyday states that drive individuals to seek information. Due to their functional relatedness, it is not trivial to distinguish whether an action, for instance in the context of a behavioral experiment, is driven by boredom or curiosity. Are the two…
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Delusion as embodied emotion
“Delusion as embodied emotion: a qualitatively driven, multimethod study of first-episode psychosis in the UK” Delusions in psychosis involve complex and dynamic experiential, affective, cognitive, behavioural, and interpersonal alterations. Their pattern of emergence during the early stages of illness remains poorly understood and the origin of their thematic content unclear. Phenomenological accounts have emphasised alterations…
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Intuitive insight: Fast associative processes drive sound creative thinking
“Intuitive insight: Fast associative processes drive sound creative thinking” Convergent thinking, the ability to find a single optimal solution to a well-defined problem, is considered a core component of creativity, and is often assumed to rely on controlled, deliberative processes. We tested this assumption using the Compound Remote Associates (CRA) test, where participants have to…
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Switching, fast and slow
“Switching, fast and slow: Deciphering the dynamics of memory search, its brain connectivity patterns, and its role in creativity “ Creative ideas emerge from the process of searching and combining concepts in memory, involving both associative and controlled mechanisms. How these processes unfold during memory search and relate to creativity remains unclear. We explored the neurocognitive…
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The interoceptive origin of reinforcement learning
“The interoceptive origin of reinforcement learning” Rewards play a crucial role in sculpting all motivated behavior. Traditionally, research on reinforcement learning has centered on how rewards guide learning and decision-making. Here, we examine the origins of rewards themselves. Specifically, we discuss that the critical signal sustaining reinforcement for food is generated internally and subliminally during…
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Paradox of Predictability
“The paradox of predictability provides a bridge between micro- and macroevolution” The relationship between the evolutionary dynamics observed in contemporary populations (microevolution) and evolution on timescales of millions of years (macroevolution) has been a topic of considerable debate. Historically, this debate centers on inconsistencies between microevolutionary processes and macroevolutionary patterns. Here, we characterize a striking…
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The Universe Learning Itself
“The Universe Learning Itself: On the Evolution of Dynamics from theBig Bang to Machine Intelligence” We develop a unified, dynamical-systems narrative of the universe that traces a continuous chain of structure formation from the Big Bang to contemporary human societies and their artificial learning systems. Rather than treating cosmology, astrophysics, geophysics, biology, cognition, and machine…
