… Here, we review recent progress in deriving synaptic plasticity … A number of qualitatively
distinct STDP curve shapes have … -based plasticity among excitatory neurons, in combination …

… basic of STDP is based on the temporal correlations between … those deal with the definition
of the STDP learning rule in the … It is clear that there are six different combinations of the four …

… amenable to an analytical derivation of coding efficiency. … been demonstrated unequivocally
that STDPbased electrical-… as local field potentials (LFPs), ECoG signals are a mixture of …

… has addressed the combined effect of STDP-driven receptive … To quantify the magnitude of
this ‘temporal alignment’ across … -principle, rather than deriving a model that captures the full …

… the combination of the two existing concepts: STDP learning … the mathematical definition of
this quantitative information, in … integrative processes and local information about the activity …

… -inspired temporal local learning rule (S-TLLR)86. This rule … backpropagation with spatial
locality. To validate this … To combine many of the STDP rules discussed in this review, …

… as a local learning rule without requiring explicit spatial credit … temporal profile consistent
with STDP experiments (Fig. 6a). For larger initial values of \({\sigma }_{i}^{2}\), the STDP …

… We provide a mathematical derivation of synaptic plasticity … are determined by a combination
of pm and q, given by qθ: … , we also show that the temporal autocorrelations for the network …

… of developing local training rules is the modification of STDP that … the input signal: temporal
or rate-coded. It was shown that for … We then apply their combination–⊗ to the input. The SDR …

… network with threshold units combining three different forms … By definition, only neurons
firing selectively to different inputs … through STDP and we have used it to model behavioral data …