Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs

By Henry Markram, Joachim H. R. Lübke, M. Frotscher, Bert J. Sakmann. 1997

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Using Fast Weights to Attend to the Recent Past (2016, background): “…that can retrieve each bit of a pattern from all the other bits [Gardner, 1988], but for our purposes maximizing the capacity is less important than having a simple, non-iterative storage rule, so we will use an outer product rule to store hidden activity vectors in fast weights that decay rapidly.”
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “A Hebbian-compatible rule that regulates synaptic changes according to the ﬁring times of the presynaptic and postsynaptic neurons was observed by Markram et al. (1997) and named Spike-Timing-Dependent Plasticity (STDP).”
Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “Since synaptic plasticity mechanisms that result in long-term changes are activity dependent (Bi & Poo, 1998; Markram, Lübke, Frotscher, & Sakmann, 1997; Abbott & Nelson, 2000), replay during sleep plays a critical role in long-term memory consolidation.”
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008, background): “For several decades, experimentalists have therefore focused on Long-Term Potentiation (LTP) and Long-Term Depression (LTD) of synapses in hippocampus [3,4] and cortical areas [5, 6 ].”
About sleep's role in memory. (2013, background): “SW-Rs may conversely promote LTP and spike timedependent plasticity in hippocampal circuits (97, 159, 241, 640, 777).”
Reactivation of Hippocampal Cell Assemblies: Effects of Behavioral State, Experience, and EEG Dynamics (1999, background): “Recent findings in the neocortical slice preparation indicate that the precise timing of the action potential determines whether synaptic weights decrease or increase (Markram et al., 1997).”
Dendritic spikes as a mechanism for cooperative long-term potentiation (2002, background): “Repeated pairing of presynaptic stimulation with postsynaptic depolarization leads reliably to long-term potentiation (LTP) of excitatory postsynaptic potentials (EPSPs”
A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations (2011, background): “Experimentally, because the learning rule is expressed in terms of firing rates, it cannot predict synaptic modification on the basis of the timing of pre- and postsynaptic spikes (9, 10).”
Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex (2012, background): “An example of a cellular mechanism to implement (1) is the number of activated CaMKII macro-molecules [27] or long-term potentiation [32,33,34].”
The synaptic plasticity and memory hypothesis: encoding, storage and persistence (2014, background): “Spike-timing-dependent plasticity [26,27] has been implicated in the learning and expression of, for example, remembered sequences [28].”
Connectivity reflects coding: a model of voltage-based STDP with homeostasis (2010, background): “More quantitatively, for Poisson input, the total weight change ∆w in our model is proportional to νpreνpost(νpost – ), where νpre and νpost denote the firing rates of pre- and postsynaptic neurons, respectively, and  is a sliding threshold related to the ratio between the LTP- and LTD-inducing pr”