Spike-timing-dependent synaptic plasticity (STDP) is a leading cellular model for behavioral
learning and memory with rich computational properties. However, the relationship between …

The rapid progress of autonomous driving (AD) has triggered a surge in demand for safer
and more efficient autonomous vehicles, owing to the intricacy of modern urban …

Learning and memory rely on synapses changing their strengths in response to neural
activity. However, there is a substantial gap between the timescales of neural electrical …

Highlights•Hebbian protocols induce bidirectional plasticity (LTP and LTD) in the
striatum.•Multiple pathways interact to induce activity-dependent STDP in the …

In spike-timing dependent plasticity (STDP) change in synaptic strength depends on the
timing of pre-vs. postsynaptic spiking activity. Since STDP is in compliance with Hebb's …

Synchronization of electrical oscillators is a crucial step toward practical implementation of
oscillator-based and bio-inspired computing. Here, we report the emergence of an unusual …

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 …

The endocannabinoid (eCB) system is a lipid-based neurotransmitter complex that plays
crucial roles in the neural control of learning and memory. The current model of eCB …

Dopamine modulates striatal synaptic plasticity, a key substrate for action selection and
procedural learning. Thus, characterizing the repertoire of activity-dependent plasticity in …

Discovering the rules of synaptic plasticity is an important step for understanding brain
learning. Existing plasticity models are either (1) top-down and interpretable, but not flexible …