Category: Biology of Information
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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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Penguin Update 12/2023
The Leif Penguinson article I wrote a while ago refers to an article in Nature, which got updated. Of course, you always can have your regular “Can you spot the penguin?” when you follow the Nature Briefings
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The Quark & the Jaguar
In 1994, SFI co-founder Murray Gell-Mann published his only book, The Quark & the Jaguar. Now available in electronic formats through the SFI Press, the book examines the laws of physics and the complexity of the natural world through Gell-Mann’s uniquely personal and unifying vision. “The world of the quark has everything to do / with…
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An New Law Needed?
On the roles of function and selection in evolving systems - by Michael L. Wong, et al. (2023) Systems of many interacting agents display an increase in diversity, distribution, and/or patterned behavior when numerous configurations of the system are subject to selective pressure. The universe is replete with complex evolving systems, but the existing macroscopic physical laws…
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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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Human society is currently undergoing a socio-cultural ETI
An evolutionary transition in individuality (ETI) occurs when a previously independent organism becomes a lower level unit within a higher hierarchical level (for example, cells in an organism, ants in a colony). Based on archaeological and historical accounts from the last 12000 years, this article “Human societal development: is it an evolutionary transition in individuality?”…
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EXplore-versus-EXploit problems
Trade-offs between producing costly movements for gathering information (‘explore’) and using previously acquired information to achieve a goal (‘exploit’) arise in a wide variety of problems, including foraging, reinforcement learning and sensorimotor control. Determining the optimal balance between exploration and exploitation is computationally intractable, necessitating heuristic solutions. In “Mode switching in organisms for solving explore-versus-exploit…
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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…
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How adults understand what young children say
When babies first begin to talk, their vocabulary is very limited. Often one of the first sounds they generate is “da,” which may refer to dad, a dog, a dot, or nothing at all. How does an adult listener make sense of this limited verbal repertoire? A new study “How adults understand what young children…
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Puzzled …? – Consider the Bayesian brain hypothesis!
Dysfunctional breathing disorder(s) (DBD) is an umbrella term for a set of poorly distinguishable clinical conditions including the most emblematic and anciently known hyperventilation syndrome. DBD affects in a variable proportion (between 5 and 35%) both adults and children, with a highly negative impact on health-related quality of life. DBD is consensually considered as a…
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Bayesian models of perception and action (free e-book)
Bayesian models of perception and action An introduction By Wei Ji Ma, Konrad Kording, and Daniel Goldreich An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic — or Bayesian — inference, a method used to draw conclusions from…
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The computational power of the human brain
Peter J. Gebicke-Haerter published a great review article with this title. I selected some snippets and the key conclusion: At the end of the 20th century, analog systems in computer science have been widely replaced by digital systems due to their higher computing power. Nevertheless, the question keeps being intriguing until now: is the brain…
