A neuronal learning rule for sub-millisecond temporal coding

By W. Gerstner, Richard Kempter, J. van Hemmen, H. Wagner. 1996

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression (2008, positive): “and the same holds for standard models of STDP”
Synaptic consolidation: an approach to long-term learning (2011, background): “Functional implications of synaptic plasticity (Gerstner et al. 1996; Roberts and Bell 2000; Legenstein et al. 2005; Guyonneau et al. 2005; Gerstner and Kistler 2002; Clopath et al. 2010) assume that plasticity induction lasts for as long as no new induction is elicited, which is not always the…”
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics (2007, background): “In general these different aspects have been studied separately, and the computational implications have been largely neglected despite the fact that protocols to induce long term synaptic changes based on spike-timing were initially considered in the computational context of temporal coding (Gerstn”
Polychronization: Computation with Spikes (2006, background): “The theoretical existence of such groups was anticipated by Bienenstock (1995) and Gerstner et al. (1996) .”
Introduction to spiking neural networks: Information processing, learning and applications. (2011, background): “Interesting enough, the dependence of synaptic plasticity on timing of spikes has been predicted theoretically (Gerstner et al. 1996).”
Reinforcement learning with modulated spike timing dependent synaptic plasticity. (2007, background): “…predictive learning (Abbott and Blum 1996; Blum and Abbott 1996; Rao and Sejnowski 2001; Roberts 1999), learning to respond to correlated inputs (Gerstner et al. 1996; Gütig et al. 2003; Song and Abbott 2001; Song et al. 2000; van Rossum et al. 2000), stabilization of postsynaptic firing rate…”
Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials (2000, background): “A theoretical approach to this phenomenon is far from being trivial because it involves the calculation of correlations between pre- and postsynaptic action potentials ( Gerstner, Kempter, van Hemmen, & Wagner 1996 ).”
Solving the distal reward problem through linkage of STDP and dopamine signaling (2007, background): “I also discuss why this mechanism works only when precise firing patterns are embedded into the sea of noise and why it fails in the mean firing rate models.”
Unsupervised Natural Visual Experience Rapidly Reshapes Size Invariant Object Representation in Inferior Temporal Cortex (2010, unknown): “…Wiskott and Sejnowski, 2002; Wyss et al., 2006), and such models can be implemented using variants of Hebbian-like learning rules that are dependent on the timing of spikes (Gerstner et al., 1996; Sprekeler et al., 2007; Wallis and Rolls, 1997; Morrison et al., 2008; Sprekeler and Gerstner, 2009).”
A History of Spike-Timing-Dependent Plasticity (2011, background): “…with the EPSP caused by incoming synaptic input and theorized that crucial information for plasticity, necessary for the learning of spatio-temporal spike patterns, would be missed if the usual averaging of firing rates or postsynaptic membrane potentials were considered (Gerstner et al., 1993).”
Spike-Timing-Dependent Plasticity: A Comprehensive Overview (2012, background): “Thus the field of Spike-Timing-Dependent Plasticity – or STDP – was born, via the first key studies of Henry Markram (Markram and Sakmann, 1995; Markram et al., 1997) and Gerstner et al. (1996).”
Decoupling through synchrony in neuronal circuits with propagation delays. (2008, unknown): “The functional consequences of STDP have been intensively explored through computational models (Abbott and Blum, 1996; Gerstner et al., 1996; Song et al., 2000; Shon et al., 2004; Morrison et al., 2007; Abbott and Nelson, 2000; Roberts and Bell, 2002), with recent studies showing that Hebbian STDP…”
Phenomenological models of synaptic plasticity based on spike timing (2008, background): “1993) which leads to models of spike-timing dependent plasticity (STDP) (Gerstner et al. 1996; Kempter et al. 1999; Roberts 1999; Abbott and Nelson 2000) that can be seen as a spike-based generalization of Hebbian learning.”