Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point

Authors:
Anthony N. Burkitt;Hamish Meffin;David B. Grayden
Affiliations:
The Bionic Ear Institute, East Melbourne, Victoria 3002, Australia;The Bionic Ear Institute, East Melbourne, Victoria 3002, Australia;The Bionic Ear Institute, East Melbourne, Victoria 3002, Australia
Venue:
Neural Computation
Year:
2004

Citing 10
Cited 14

The role of constraints in Hebbian learning

Neural Computation
What matters in neuronal locking?

Neural Computation
Spike-driven synaptic dynamics generating working memory states

Neural Computation
A stochastic method to predict the consequence of arbitrary forms of spike-timing-dependent plasticity

Neural Computation
Relating STDP to BCM

Neural Computation
Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing

Neural Computation
Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

Neural Computation
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing

Neural Computation
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning

Neural Computation
Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials

Neural Computation

Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity

Neural Computation
Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity

Neural Computation
Spike-Timing-Dependent Plasticity in Balanced Random Networks

Neural Computation
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity

Neural Computation
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics

Neural Computation
Taming fluctuations in a stochastic model of spike-timing-dependent plasticity

Neural Computation
A non-markovian random walk underlies a stochastic model of spike-timing-dependent plasticity

Neural Computation
Reconciling the stdp and bcm models of synaptic plasticity in a spiking recurrent neural network

Neural Computation
Enhanced stimulus encoding capabilities with spectral selectivity in inhibitory circuits by stdp

Neural Computation
Cross-talk induces bifurcations in nonlinear models of synaptic plasticity

Neural Computation
Stochastic perturbation methods for spike-timing-dependent plasticity

Neural Computation
Stability against fluctuations: scaling, bifurcations, and spontaneous symmetry breaking in stochastic models of synaptic plasticity

Neural Computation
Frequency selectivity emerging from spike-timing-dependent plasticity

Neural Computation
Enhanced stimulus encoding capabilities with spectral selectivity in inhibitory circuits by stdp

Neural Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Experimental evidence indicates that synaptic modification depends on the timing relationship between the presynaptic inputs and the output spikes that they generate. In this letter, results are presented for models of spike-timing-dependent plasticity (STDP) whose weight dynamics is determined by a stable fixed point. Four classes of STDP are identified on the basis of the time extent of their input-output interactions. The effect on the potentiation of synapses with different rates of input is investigated to elucidate the relationship of STDP with classical studies of long-term potentiation and depression and rate-based Hebbian learning. The selective potentiation of higher-rate synaptic inputs is found only for models where the time extent of the input-output interactions is input restricted (i.e., restricted to time domains delimited by adjacent synaptic inputs) and that have a time-asymmetric learning window with a longer time constant for depression than for potentiation. The analysis provides an account of learning dynamics determined by an input-selective stable fixed point. The effect of suppressive interspike interactions on STDP is also analyzed and shown to modify the synaptic dynamics.