Neurons Tune to the Earliest Spikes Through STDP
- 1 April 2005
- journal article
- Published by MIT Press in Neural Computation
- Vol. 17 (4) , 859-879
- https://doi.org/10.1162/0899766053429390
Abstract
Spike timing-dependent plasticity (STDP) is a learning rule that modifies the strength of a neuron's synapses as a function of the precise temporal relations between input and output spikes. In many brains areas, temporal aspects of spike trains have been found to be highly reproducible. How will STDP affect a neuron's behavior when it is repeatedly presented with the same input spike pattern? We show in this theoretical study that repeated inputs systematically lead to a shaping of the neuron's selectivity, emphasizing its very first input spikes, while steadily decreasing the postsynaptic response latency. This was obtained under various conditions of background noise, and even under conditions where spiking latencies and firing rates, or synchrony, provided conflicting informations. The key role of first spikes demonstrated here provides further support for models using a single wave of spikes to implement rapid neural processing.Keywords
This publication has 46 references indexed in Scilit:
- A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent PlasticityNeural Computation, 2003
- Synaptic Modification by Correlated Activity: Hebb's Postulate RevisitedAnnual Review of Neuroscience, 2001
- Synaptic plasticity: taming the beastNature Neuroscience, 2000
- Coincidence detection and changes of synaptic efficacy in spiny stellate neurons in rat barrel cortexNature Neuroscience, 1999
- Spike timing in the mammalian visual systemCurrent Opinion in Neurobiology, 1999
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell TypeJournal of Neuroscience, 1998
- Synaptic plasticity in a cerebellum-like structure depends on temporal orderNature, 1997
- Reproducibility and Variability in Neural Spike TrainsScience, 1997
- Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque MonkeyNeural Computation, 1996
- Reading a Neural CodeScience, 1991