Spike-timing-dependent plasticity (STDP) is a biological process that adjusts the strength of synaptic connections between neurons based on the relative timing of their action potentials (or spikes).

Throughout this tutorial, we assume that a single postsynaptic neuron is driven by N presynaptic neurons. That is, there are N synapses, and we will study how their weights depend on the statistics …

Spike-timing-dependent plasticity (STDP) is often seen as an extended and more quantitative version of Hebb's learning rule, since both formalisms are based on the idea that only synapses that are …

Jul 1, 2010 · Spike timing dependent plasticity (STDP) is a phenomenon in which the precise timing of spikes affects the sign and magnitude of changes in synaptic strength. STDP is often interpreted as …

With STDP, a neuron embedded in a neuronal network can determine which neighboring neurons are worth listening to by potentiating those inputs that predict its own spiking activity. However, the …

In the context of spiking neuronal networks, one of the most important forms of adaptation that is often simulated is that of spike-timing-dependent plasticity (STDP).

Mar 29, 2023 · Here, we review foundational and current evidence on timing precision and cooperative neuronal electrical activity driving STDP and brain rhythms, their interactions, and the emerging role …

Spike-timing-dependent plasticity (STDP) is a form of Hebbian plasticity that describes the modification of synaptic strength based on the timing of pre- and postsynaptic spike events. It combines long-term …

Spike Timing Dependent Plasticity (STDP) is a temporally asymmetric form of Hebbian learning induced by tight temporal correlations between the spikes of pre- and postsynaptic neurons.

In STDP, if we believe that “pre” causes “post” to fire then we strengthen the connection between them so that “post” ends up being even more likely to fire after “pre” fires. Let’s focus even more …