Category: Active Inference
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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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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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Mapping interactions between adversity and neuroplasticity across development
“Mapping interactions between adversity and neuroplasticity across development” Highlights: The human brain undergoes a protracted course of development that provides prolonged opportunities to be sculpted by experience. Yet, persistent definitional and measurement challenges have complicated efforts to understand how experience interacts with neuroplasticity during human development. Here, we synthesize previously siloed perspectives to propose an…
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The ‘made-up mind’.
“The ‘made-up mind’. Deriving new hypotheses on delusions from general psychological models of belief maintenance” Highlights Contemporary definitions of delusions highlight their resistance to conflicting evidence as the core feature, but there has been little progress in understanding why even explicit confrontation with contradicting evidence seldom leads to belief revision. This review aims to generate…
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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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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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A Drive to Survive
“A Drive to Survive: The Free Energy Principle and the Meaning of Life“ How the purposive behavior of living systems outstrips the constraints of the free energy principle. Since 2005, Karl Friston’s proposal that the principle of free energy minimization underpins the purposive behavior of living agents has evolved through thousands of publications. This principle’s central…
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Bayesian Models of Cognition
“Bayesian Models of Cognition Reverse Engineering the Mind” is a new MIT-press Open Access book available for online reading. The definitive introduction to Bayesian cognitive science, written by pioneers of the field. How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide…
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The Universal Optimism of the Self-Evidencing Mind
“The Universal Optimism of the Self-Evidencing Mind“:Karl Friston’s free-energy principle casts agents as self-evidencing through active inference. This implies that decision-making, planning and information-seeking are, in a generic sense, ‘wishful’. We take an interdisciplinary perspective on this perplexing aspect of the free-energy principle and unpack the epistemological implications of wishful thinking under the free-energy principle.…
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Nature heals
“Nature heals: An informational entropy account of self-organization and change in field psychotherapy“Highlights This paper reviews biophysical models of psychotherapeutic change based on synergetics and the free energy principle. These models suggest that introducing sensory surprise into the patient-therapist system can lead to self-organization and the formation of new attractor states, disrupting entrenched patterns of…
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Insight –> selection of ideas
“Insight and the selection of ideas” describes the mechanisms underlying Eureka heuristic, explained within an active inference framework. Perhaps it is no accident that insight moments accompany some of humanity’s most important discoveries in science, medicine, and art. Here we propose that feelings of insight play a central role in (heuristically) selecting an idea from…
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music and aging | Bayesian inference
“Understanding music and aging through the lens of Bayesian inference“ Bayesian inference has recently gained momentum in explaining music perception and aging. A fundamental mechanism underlying Bayesian inference is the notion of prediction. This framework could explain how predictions pertaining to musical (melodic, rhythmic, harmonic) structures engender action, emotion, and learning, expanding related concepts of music…
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Andy Clark “How the brain shapes reality”
Philosopher and cognitive scientist Andy Clark challenges our conventional understanding of the mind’s interaction with the world. A great and entertaining lecture. I like the reflection with the reference to the weather forecast and how the forecast impacts “reality” perception. At the very least, understanding all those prediction-driven, precision-inflected, looping influences should bring us a…
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Bayesian model: prior–cost
Sohna and Jazayeri discuss in “Validating model-based Bayesian integration using prior–cost metamers” the two competing views on how humans make decisions under uncertainty. Bayesian decision theory (BDT) posits that humans optimize their behavior by establishing and integrating internal models of past sensory experiences (priors) and decision outcomes (cost functions). An alternative hypothesis posits that decisions…
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Representation of priors and decisions
The PLOS article by Marshall, Ruesseler, Hunt, O’Reilly “representation of priors and decisions in the human parietal cortex” discusses how both humans and animals actively sample the environment using their sensory organs, far from being passive recipients of sensory information. In rodents, active sampling processes include whisking and sniffing; in primates, the most important and…
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Dynamic task-belief is an integral part of decision-making
Natural decisions involve two seemingly separable processes: inferring the relevant task (task-belief) and performing the believed-relevant task. The assumed separability has led to the traditional practice of studying task-switching and perceptual decision-making individually. In this study, “Dynamic task-belief is an integral part of decision-making”, Xue, Kramer and Cohen used a novel paradigm to manipulate and…
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Generating meaning – AI²: predicting wor(l)ds
I would like to quote some of the great insights and statements from the opinion by G. Pezzulo, T. Parr, P. Cisek, A Clark, and K. Friston published in TICS: “Generating meaning: active inference and the scope and limits of passive AI“. Does ChatGPT ‘understand‘ what it talks about in the way we do, or…
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Interoception and Active Inference for mental health
Interoception refers to the process by which the nervous system senses and integrates signals originating from within the body, providing a momentary mapping of the body’s internal landscape and its relationship to the outside world. Active inference is based on the premise that afferent sensory input to the brain is constantly shaped and modified by…
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Conceptual Bootstrapping (human cognition)
To tackle a hard problem, it is often wise to reuse and recombine existing knowledge. Such an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive resources. This article presents a computational model of conceptual bootstrapping. This model uses a dynamic conceptual repertoire that can cache and later reuse elements of…
