It has been 70 years since Donald Hebb published his formalized theory of synaptic
adaptation during learning. Hebb's seminal work foreshadowed some of the great …

In spike-timing-dependent plasticity (STDP), the order and precise temporal interval
between presynaptic and postsynaptic spikes determine the sign and magnitude of long …

In the mammalian nervous system, various synaptic plasticity rules act, either individually or
synergistically, over wide-ranging timescales to enable learning and memory formation …

We identified the neurons comprising the Drosophila mushroom body (MB), an associative
center in invertebrate brains, and provide a comprehensive map describing their potential …

Animals discriminate stimuli, learn their predictive value and use this knowledge to modify
their behavior. In Drosophila, the mushroom body (MB) plays a key role in these processes …

Memristors as electronic artificial synapses have attracted increasing attention in
neuromorphic computing. Emulation of both “learning” and “forgetting” processes requires a …

Brain-inspired computing is an emerging field, which aims to extend the capabilities of
information technology beyond digital logic. A compact nanoscale device, emulating …

Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …

Although associative learning has been localized to specific brain areas in many animals,
identifying the underlying synaptic processes in vivo has been difficult. Here, we provide the …

Recent years of research have shown that the complex temporal structure of ongoing
oscillations is scale-free and characterized by long-range temporal correlations. Detrended …