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…
