Results 221 to 230 of about 179,176 (312)
Peripheral biomarkers and the philosophy of precision in treatment-resistant schizophrenia. [PDF]
Jerotic S.
europepmc +1 more source
Abstract Past research suggests that Working Memory plays a role in determining relative clause attachment bias. Disambiguation preferences may further depend on Processing Speed and explicit memory demands in linguistic tasks. Given that Working Memory and Processing Speed decline with age, older adults offer a way of investigating the factors ...
Willem S. van Boxtel, Laurel A. Lawyer
wiley +1 more source
The spiritual core of the hard problem: consciousness as foundational, not emergent. [PDF]
Arora A.
europepmc +1 more source
Personalized Model‐Driven Interventions for Decisions From Experience
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford +6 more
wiley +1 more source
Editorial: Varieties of agency: exploring new avenues. [PDF]
Gangopadhyay N, Knappik F, Puusepp V.
europepmc +1 more source
Team Cognition Research Is Transforming Cognitive Science
Abstract About 30 years ago, the Dynamical Hypothesis instigated a variety of insights and transformations in cognitive science. One of them was the simple observation that, quite unlike trial‐based tasks in a laboratory, natural ecologically valid behaviors almost never have context‐free starting points.
Michael J. Spivey
wiley +1 more source
Tacit Creationism Encourages Oversimplified Views of Functions and Dysfunctions. [PDF]
Stein DJ, Nesse RM.
europepmc +1 more source
Abstract Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning.
Philippe Servajean, Wanja Wiese
wiley +1 more source

