This work researched apple quality identification and classification from real images
containing complicated disturbance information (background was similar to the surface of …

Change is ubiquitous in living beings. In particular, the connectome and neural
representations can change. Nevertheless, behaviors and memories often persist over long …

Sequence memory is an essential attribute of natural and artificial intelligence that enables
agents to encode, store, and retrieve complex sequences of stimuli and actions …

The mechanisms of information storage and retrieval in brain circuits are still the subject of
debate. It is widely believed that information is stored at least in part through changes in …

Episodic memory has a dynamic nature: when we recall past episodes, we retrieve not only
their content, but also their temporal structure. The phenomenon of replay, in the …

The timing of self-initiated actions shows large variability even when they are executed in
stable, well-learned sequences. Could this mix of reliability and stochasticity arise within the …

As an adaptive system, the brain must retain a faithful representation of the world while
continuously integrating new information. Recent experiments have measured population …

Attractor networks are an influential theory for memory storage in brain systems. This theory
has recently been challenged by the observation of strong temporal variability in neuronal …

Remembering the temporal order of a sequence of events is a task easily performed by
humans in everyday life, but the underlying neuronal mechanisms are unclear. This problem …

Spatio-temporal activity patterns have been observed in a variety of brain areas in
spontaneous activity, prior to or during action, or in response to stimuli. Biological …