Out with the bad, in with the good: A review on augmented extinction learning in humans.

Several leading therapies for anxiety-related disorders rely on the principles of extinction learning. However, despite decades of development and research, many of these treatments remain only moderately effective. Developing techniques to improve extinction learning is an important step towards developing improved and mechanistically-informed exposure-based therapies.

Event Segmentation Promotes the Reorganization of Emotional Memory.

Event boundaries help structure the content of episodic memories by segmenting continuous experiences into discrete events. Event boundaries may also serve to preserve meaningful information within an event, thereby actively separating important memories from interfering representations imposed by past and future events. Here, we tested the hypothesis that event boundaries organize emotional memory based on changing dynamics as events unfold.

Pavlovian safety learning: An integrative theoretical review.

Safety learning involves associating stimuli with the absence of threats, enabling the inhibition of fear and anxiety. Despite growing interest in psychology, psychiatry, and neuroscience, safety learning lacks a formal consensus definition, leading to inconsistent methodologies and varied results. Conceptualized as a form of inhibitory learning (conditioned inhibition), safety learning can be understood through formal learning theories, such as the Rescorla-Wagner and Pearce-Hall models.

Pattern separation of fear extinction memory.

While fear generalizes widely, extinction is stimulus-specific. Using a hybrid conditioning/episodic memory paradigm, subjects encoded nonrepeating category exemplars during fear conditioning and extinction. Twenty-four hours later, a surprise memory test included old, similar, and novel category exemplars.

Rhodium Catalyst Structural Changes during, and Their Impacts on the Kinetics of, CO Oxidation.

Catalysts can undergo structural changes during the reaction, affecting the number and/or the shape of active sites. For example, Rh can undergo interconversion between nanoparticles and single atoms when CO is present in the reaction mixture. Therefore, calculating a turnover frequency in such cases can be challenging as the number of active sites can change depending on the reaction conditions.