A neural network showed better prediction of upcoming states when it was selective in when it encoded and retrieved episodic memories, thereby explaining why humans show this selectivity in studies of naturalistic memory.

Human hippocampal cornu ammonis 3 damage impairs both recent and remote autobiographical episodic memory, and disrupts functional integration in medial temporal lobe subsystem regions of the default network.

People use uncertainty for effective arbitration between episodic memory and incremental learning.

Synchronization of neural firing in the medial temporal lobe at fast, but not slow, theta and gamma oscillations correlates with shorter latencies of co-firing and successful memory formation.

Enhanced hippocampal-cortical network communication during memory retrieval flexibly tracks the quality and content of memories for complex past events.

Combining fMRI with continuous model-based measures of retrieval enables the behavioral and neural dissociation of multiple components of episodic memory.

A cortical model inspired by cognitive theories and deep learning demonstrates how the combination of wakefulness, non-rapid eye movement (NREM), and REM dreams leads to the emergence of robust and semantically organized neuronal representations in higher cortical areas.

A novel laboratory paradigm for studying food-caching behavior in black-capped chickadees and contributions of memory to this behavior.

Context factors such as experimental task and model parameterization can significantly impact modeling results, such that across tasks, the same participants show different fitted parameter values, and parameters capture different cognitive processes across tasks.

The strength of pattern completion during memory retrieval, indexed by hippocampal activity and cortical reinstatement, explains within- and across-individual variability in episodic memory in older adults.