Results 101 to 110 of about 4,178,249 (281)
The Predictive Processing Model of EMDR [PDF]
Frontiers in Psychology, 2019 Eye Movement Desensitization and Reprocessing Therapy (EMDR) is an effective treatment for Post-traumatic Stress Disorder (PTSD). The Adaptive Information Processing Model (AIP) guides the development and practice of EMDR. The AIP postulates inadequately processed memory as the foundation of PTSD pathology.
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Predictive processing: does it compute?
, 2020 This book explores how predictive processing, which argues that our brains are constantly generating and updating hypotheses about our external conditions, sheds new light on the nature of the mind.
Chris Thornton (4460509)
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PsychoactivesSerotonergic psychedelics, particularly psilocybin, lysergic acid diethylamide (LSD), and dimethyltryptamine (DMT), are increasingly recognised as powerful tools to advance the understanding of consciousness and its relation to brain activity ...
William Roseby, Catriona Osborn Moar
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Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source
Advanced techniques on multirate signal processing for digital information processing [PDF]
, 2011 Multirate signal processing has become a key topic enabling efficient techniques for digital information processing in a variety of applications such as digital transceivers s for wireless as well as satellite communication systems, digital broadcasting,
Massimiliano Laddomada +2 more
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Predicting Integrals of Stochastic Processes
The Annals of Applied Probability, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Non-linear predictive control for manufacturing and robotic applications [PDF]
, 2001 The paper discusses predictive control algorithms in the context of applications to robotics and manufacturing systems. Special features of such systems, as compared to traditional process control applications, require that the algorithms are capable of ...
Grimble, M.J., Ordys, A.W.
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Resonant closure: consciousness as a dynamically self-stabilized informational state
Frontiers in Human NeuroscienceWhy some physical systems are accompanied by subjective experience remains unresolved in neuroscience and philosophy of mind. Building on predictive processing and the Free Energy Principle, I propose that phenomenal consciousness (what-it-is-like-ness ...
Borros Arneth, Borros Arneth
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Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Characterizing predictable classes of processes
CoRR, 2009 The problem is sequence prediction in the following setting. A sequence x1,..., xn,... of discrete-valued observations is generated according to some unknown probabilistic law (measure) mu. After observing each outcome, it is required to give the conditional probabilities of the next observation.
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